old_references.bib

% Please download the latest anthology.bib from
%
% http://aclweb.org/anthology/anthology.bib.gz
@article{murphy1985role,
  title={The role of theories in conceptual coherence.},
  author={Murphy, Gregory L and Medin, Douglas L},
  journal={Psychological review},
  volume={92},
  number={3},
  pages={289},
  year={1985},
  publisher={American Psychological Association},
  note={Early work highlighting the importance of structured conceptual theories, rather than similarity-based metrics, in knowledge representation (specifically categorization)}
}

@book{turner1994adaptive,
  title={Adaptive reasoning for real-world problems: A schema-based approach},
  author={Turner, Roy},
  year={1994},
  publisher={Psychology Press}
}

@article{rosenberg2013visual,
  title={The visual representation of 3D object orientation in parietal cortex},
  author={Rosenberg, Ari and Cowan, Noah J and Angelaki, Dora E},
  journal={Journal of Neuroscience},
  volume={33},
  number={49},
  pages={19352--19361},
  year={2013},
  publisher={Soc Neuroscience}
}

@article{kim2019type,
  title={A Type-coherent, Expressive Representation as an Initial Step to Language Understanding},
  author={Kim, Gene Louis and Schubert, Lenhart},
  journal={arXiv preprint arXiv:1903.09333},
  year={2019}
}

@incollection{cooper1973chronometric,
  title={Chronometric studies of the rotation of mental images},
  author={Cooper, Lynn A and Shepard, Roger N},
  booktitle={Visual information processing},
  pages={75--176},
  year={1973},
  publisher={Elsevier}
}

@inproceedings{platonov2018computational,
  title={Computational Models for Spatial Prepositions},
  author={Platonov, Georgiy and Schubert, Lenhart},
  booktitle={Proceedings of the First International Workshop on Spatial Language Understanding},
  pages={21--30},
  year={2018}
}

@article{palmer2005proposition,
  title={The proposition bank: An annotated corpus of semantic roles},
  author={Palmer, Martha and Gildea, Daniel and Kingsbury, Paul},
  journal={Computational linguistics},
  volume={31},
  number={1},
  pages={71--106},
  year={2005},
  publisher={MIT Press}
}

@inproceedings{siskind2015,
 author = {Siskind, Jeffrey Mark},
 title = {Conducting Neuroscience to Guide the Development of AI},
 booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
 series = {AAAI'15},
 year = {2015},
 isbn = {0-262-51129-0},
 location = {Austin, Texas},
 pages = {4067--4072},
 numpages = {6},
 url = {http://dl.acm.org/citation.cfm?id=2888116.2888285},
 acmid = {2888285},
 publisher = {AAAI Press},
} 

@inproceedings{kim2019FLAIRS,
    title={Towards Parsing Unscoped Episodic Logical Forms with a Cache Transition Parser},
    author={Gene Louis Kim},
    booktitle={the Poster Abstracts of the Proceedings of the 32nd International Conference of the Florida Artificial Intelligence Research Society},
    year={2019},
    location={Sarasota, Florida, USA},
}

@incollection{turing1950,
 author = {Turing, A. M.},
 chapter = {Computing Machinery and Intelligence},
 title = {Computers \& Thought},
 editor = {Feigenbaum, Edward A. and Feldman, Julian},
 year = {1950},
 isbn = {0-262-56092-5},
 pages = {11--35},
 numpages = {25},
 url = {http://dl.acm.org/citation.cfm?id=216408.216410},
 acmid = {216410},
 publisher = {MIT Press},
 address = {Cambridge, MA, USA},
} 

@phdthesis{mooney:phd88,
title={A General Explanation-Based Learning Mechanism and its Application to Narrative Understanding},
author={Raymond J. Mooney},
institution={Department of Computer Science, University of Illinois at Urbana-Champaign},
url="http://www.cs.utexas.edu/users/ai-lab/?mooney:phd88",
year={1988}
}

@article{robinson1965machine,
  title={A machine-oriented logic based on the resolution principle},
  author={Robinson, John Alan and others},
  journal={Journal of the ACM},
  volume={12},
  number={1},
  pages={23--41},
  year={1965}
}

@InCollection{schubert2000book2,
 	author = {Schubert, Lenhart K.},
 	title = {The Situations We Talk About},
 	booktitle = {Logic-based Artificial Intelligence},
 	editor = {Minker, Jack},
 	year = {2000},
 	pages = {407--439},
 	publisher = {Kluwer Academic Publishers},
 	address = {Norwell, MA, USA},
} 

@book{schankandabelson,
  title={Scripts, Plans, Goals, and Understanding: An Inquiry Into Human Knowledge Structures},
  author={Schank, R.C. and Abelson, R.P.},
  isbn={9780470990339},
  lccn={lc76051963},
  series={The Artificial Intelligence Series},
  url={https://books.google.com/books?id=YZ99AAAAMAAJ},
  year={1977},
  publisher={Lawrence Erlbaum Associates}
}

@incollection{Reiter:1987:CWD:42641.42663,
 author = {Reiter, R.},
 chapter = {On Closed World Data Bases},
 title = {Readings in Nonmonotonic Reasoning},
 editor = {Ginsberg, Matthew L.},
 year = {1987},
 isbn = {0-934613-45-1},
 pages = {300--310},
 numpages = {11},
 url = {http://dl.acm.org/citation.cfm?id=42641.42663},
 acmid = {42663},
 publisher = {Morgan Kaufmann Publishers Inc.},
 address = {San Francisco, CA, USA},
}

@article{allen1983,
 author = {Allen, James F.},
 title = {Maintaining Knowledge About Temporal Intervals},
 journal = {Commun. ACM},
 issue_date = {Nov. 1983},
 volume = {26},
 number = {11},
 month = nov,
 year = {1983},
 issn = {0001-0782},
 pages = {832--843},
 numpages = {12},
 url = {http://doi.acm.org/10.1145/182.358434},
 doi = {10.1145/182.358434},
 acmid = {358434},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {interval reasoning, interval representation, temporal interval},
}

@book{bartlett1995remembering,
  title={Remembering: A study in experimental and social psychology},
  author={Bartlett, Frederic C},
  volume={14},
  year={1932},
  publisher={Cambridge University Press}
}

@book{piaget1952origins,
  title={The origins of intelligence in children},
  author={Piaget, Jean and Cook, Margaret},
  volume={8},
  number={5},
  year={1952},
  publisher={International Universities Press New York}
}

@InCollection{mccarthy69,
author = "John McCarthy and Patrick J. Hayes",
title = "Some Philosophical Problems from the Standpoint of
Artificial Intelligence",
booktitle = "Machine Intelligence 4",
editor = "B. Meltzer and D. Michie",
pages = "463--502",
publisher = "Edinburgh University Press",
year = "1969",
note = "reprinted in McC90",
}

@article{bobrow1977overview,
  title={An overview of KRL, a knowledge representation language},
  author={Bobrow, Daniel G and Winograd, Terry},
  journal={Cognitive science},
  volume={1},
  number={1},
  pages={3--46},
  year={1977},
  publisher={Wiley Online Library}
}

@article{smith2007obo,
  title={The OBO Foundry: coordinated evolution of ontologies to support biomedical data integration},
  author={Smith, Barry and Ashburner, Michael and Rosse, Cornelius and Bard, Jonathan and Bug, William and Ceusters, Werner and Goldberg, Louis J and Eilbeck, Karen and Ireland, Amelia and Mungall, Christopher J and others},
  journal={Nature biotechnology},
  volume={25},
  number={11},
  pages={1251},
  year={2007},
  publisher={Nature Publishing Group}
}

@article{fikes1972,
  title={Learning and executing generalized robot plans},
  author={Fikes, Richard E and Hart, Peter E and Nilsson, Nils J},
  journal={Artificial intelligence},
  volume={3},
  pages={251--288},
  year={1972},
  publisher={Elsevier}
}

@article{mooney90,
title={Learning Plan Schemata From Observation: Explanation-Based Learning for Plan Recognition},
author={Mooney, Raymond J.},
volume={14},
journal={Cognitive Science},
number={4},
pages={483-509},
url="http://www.cs.utexas.edu/users/ai-lab/?mooney:cogsci90",
year={1990}
}

@article{habgood2018knowledge,
  title={Knowledge-how, abilities, and questions},
  author={Habgood-Coote, Joshua},
  journal={Australasian Journal of Philosophy},
  pages={1--19},
  year={2018},
  publisher={Taylor \& Francis},
  note={First paper I found regarding formal semantics for knowledge-how}
}

@article{mitchell1986,
 author = {Mitchell, Tom M. and Keller, Richard M. and Kedar-Cabelli, Smadar T.},
 title = {Explanation-Based Generalization: A Unifying View},
 journal = {Mach. Learn.},
 volume = {1},
 number = {1},
 month = mar,
 year = {1986},
 issn = {0885-6125},
 pages = {47--80},
 numpages = {34},
 url = {http://dx.doi.org/10.1023/A:1022691120807},
 doi = {10.1023/A:1022691120807},
 acmid = {637968},
 publisher = {Kluwer Academic Publishers},
 address = {Hingham, MA, USA},
 keywords = {constraint back-propagation, explanation-based generalization, explanation-based learning, goal regression, operationalization, similarity-based generalization},
}

@inproceedings{mooneydejong1985,
 author = {Mooney, Raymond and DeJong, Gerald},
 title = {Learning Schemata for Natural Language Processing},
 booktitle = {Proceedings of the 9th International Joint Conference on Artificial Intelligence - Volume 1},
 series = {IJCAI'85},
 year = {1985},
 isbn = {0-934613-02-8},
 location = {Los Angeles, California},
 pages = {681--687},
 numpages = {7},
 url = {http://dl.acm.org/citation.cfm?id=1625135.1625267},
 acmid = {1625267},
 publisher = {Morgan Kaufmann Publishers Inc.},
 address = {San Francisco, CA, USA},
}

@article{hwang1993episodic,
  title={Episodic logic: A situational logic for natural language processing},
  author={Hwang, Chung Hee and Schubert, Lenhart K},
  journal={Situation Theory and its Applications},
  volume={3},
  pages={303--338},
  year={1993},
  publisher={Chicago University Press}
}

@incollection{Davidson1967,
	title = {The Logical Form of Action Sentences},
	year = {1967},
	editor = {Nicholas Rescher},
	author = {Donald Davidson},
	booktitle = {The Logic of Decision and Action},
	publisher = {University of Pittsburgh Press}
}

@inproceedings{P18-1001,
    title = "Probabilistic FastText for Multi-Sense Word Embeddings",
    author = "Athiwaratkun, Ben  and
      Wilson, Andrew  and
      Anandkumar, Anima",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = may,
    year = "2019",
    publisher = "Association for Computational Linguistics",
}

@article{liu2004conceptnet,
  title={ConceptNet—a practical commonsense reasoning tool-kit},
  author={Liu, Hugo and Singh, Push},
  journal={BT technology journal},
  volume={22},
  number={4},
  pages={211--226},
  year={2004},
  publisher={Springer}
}

@incollection{winograd1973procedural,
  title={A procedural model of language understanding},
  author={Winograd, Terry},
  year={1973},
  booktitle={Computer Models of Thought and Language},
  pages={152--186},
  editor={R Schank and K Colby},
  publisher={New York, NY: WH Freeman},
}

@inproceedings{schubert1992tensetrees,
 author = {Hwang, Chung Hee and Schubert, Lenhart K.},
 title = {Tense Trees As the "Fine Structure" of Discourse},
 booktitle = {Proceedings of the 30th Annual Meeting on Association for Computational Linguistics},
 series = {ACL '92},
 year = {1992},
 location = {Newark, Delaware},
 pages = {232--240},
 numpages = {9},
 url = {https://doi.org/10.3115/981967.981997},
 doi = {10.3115/981967.981997},
 acmid = {981997},
 publisher = {Association for Computational Linguistics},
}

@InCollection{schubert2000book2,
 	author = {Schubert, Lenhart K.},
 	title = {The Situations We Talk About},
 	booktitle = {Logic-based Artificial Intelligence},
 	editor = {Minker, Jack},
 	year = {2000},
 	pages = {407--439},
 	publisher = {Kluwer Academic Publishers},
 	address = {Norwell, MA, USA},
}

@inproceedings{lawleykimschubert2019,
    title = "Towards Natural Language Story Understanding with Rich Logical Schemas",
    author = {Lawley, Lane and Kim, Gene L. and Schubert, Lenhart},
    booktitle = "Proceedings of the IWCS workshop on Natural Language and Computer Science",
    year = "2019",
    url = {https://cs.rochester.edu/~llawley/papers/nlcs_schema_paper.pdf}
}

@inproceedings{kim2016high,
  title={High-fidelity lexical axiom construction from verb glosses},
  author={Kim, Gene and Schubert, Lenhart},
  booktitle={Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics},
  pages={34--44},
  year={2016}
}

@incollection{rumelhart1986,
 author = {Rumelhart, D. E. and Hinton, G. E. and Williams, R. J.},
 chapter = {Learning Internal Representations by Error Propagation},
 title = {Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1},
 editor = {Rumelhart, David E. and McClelland, James L. and PDP Research Group, CORPORATE},
 year = {1986},
 isbn = {0-262-68053-X},
 pages = {318--362},
 numpages = {45},
 url = {http://dl.acm.org/citation.cfm?id=104279.104293},
 acmid = {104293},
 publisher = {MIT Press},
 address = {Cambridge, MA, USA},
}

@article{mcguinness2004owl,
  title={OWL web ontology language overview},
  author={McGuinness, Deborah L and Van Harmelen, Frank and others},
  journal={W3C recommendation},
  volume={10},
  number={10},
  pages={2004},
  year={2004}
}

@article{morbini2009evaluation,
  title={Evaluation of EPILOG: a reasoner for Episodic Logic},
  author={Morbini, Fabrizio and Schubert, Lenhart K},
  journal={Commonsense},
  volume={9},
  pages={1--3},
  year={2009}
}

@inproceedings{mostafazadeh2017lsdsem,
  title={Lsdsem 2017 shared task: The story cloze test},
  author={Mostafazadeh, Nasrin and Roth, Michael and Louis, Annie and Chambers, Nathanael and Allen, James},
  booktitle={Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics},
  pages={46--51},
  year={2017}
}

@article{schubert2000episodic,
  title={Episodic Logic meets Little Red Riding Hood: A comprehensive, natural representation for language understanding},
  author={Schubert, Lenhart K and Hwang, Chung Hee},
  journal={Natural language processing and knowledge representation: Language for Knowledge and Knowledge for Language},
  pages={111--174},
  year={2000},
  publisher={MIT/AAAI Press Menlo Park, CA}
}

@article{firth57synopsis,
  abstract = {Reprinted in:  Palmer, F. R. (ed.) (1968). Selected Papers of J. R. Firth 1952-59, pages 168-205. Longmans, London. },
  added-at = {2008-05-14T00:52:58.000+0200},
  address = {Oxford},
  author = {Firth, J. R.},
  biburl = {https://www.bibsonomy.org/bibtex/25e3d6c72cdd123a638f71886d78f3c1e/brightbyte},
  booktitle = {Studies in Linguistic Analysis (special volume of the Philological Society)},
  interhash = {b4f769667fdd195b4a75f61f6388a52e},
  intrahash = {5e3d6c72cdd123a638f71886d78f3c1e},
  keywords = {classic linguistics meanign relatedness semantic},
  pages = {1-32},
  publisher = {The Philological Society},
  timestamp = {2009-01-23T09:58:50.000+0100},
  title = {A synopsis of linguistic theory 1930-55.},
  volume = {1952-59},
  year = 1957
}

@article{berners2001semantic,
  title={The semantic web},
  author={Berners-Lee, Tim and Hendler, James and Lassila, Ora and others},
  journal={Scientific american},
  volume={284},
  number={5},
  pages={28--37},
  year={2001},
  publisher={New York, NY, USA:}
}

@incollection{brachman1989overview,
  title={An overview of the KL-ONE knowledge representation system},
  author={Brachman, Ronald J and Schmolze, James G},
  booktitle={Readings in artificial intelligence and databases},
  pages={207--230},
  year={1989},
  publisher={Elsevier}
}

@article{codd1970,
 author = {Codd, E. F.},
 title = {A Relational Model of Data for Large Shared Data Banks},
 journal = {Commun. ACM},
 issue_date = {June 1970},
 volume = {13},
 number = {6},
 month = jun,
 year = {1970},
 issn = {0001-0782},
 pages = {377--387},
 numpages = {11},
 url = {http://doi.acm.org/10.1145/362384.362685},
 doi = {10.1145/362384.362685},
 acmid = {362685},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {composition, consistency, data bank, data base, data integrity, data organization, data structure, derivability, hierarchies of data, join, networks of data, predicate calculus, redundancy, relations, retrieval language, security},
} 

@article{devlin2018bert,
  title={Bert: Pre-training of deep bidirectional transformers for language understanding},
  author={Devlin, Jacob and Chang, Ming-Wei and Lee, Kenton and Toutanova, Kristina},
  journal={arXiv preprint arXiv:1810.04805},
  year={2018}
}

@Inbook{Bengio2006,
author="Bengio, Yoshua
and Schwenk, Holger
and Sen{\'e}cal, Jean-S{\'e}bastien
and Morin, Fr{\'e}deric
and Gauvain, Jean-Luc",
editor="Holmes, Dawn E.
and Jain, Lakhmi C.",
title="Neural Probabilistic Language Models",
bookTitle="Innovations in Machine Learning: Theory and Applications",
year="2006",
publisher="Springer Berlin Heidelberg",
address="Berlin, Heidelberg",
pages="137--186",
doi="10.1007/3-540-33486-6_6",
url="https://doi.org/10.1007/3-540-33486-6_6"
}

@inproceedings{Schubert:2002:WDG:1289189.1289263,
 author = {Schubert, Lenhart},
 title = {Can We Derive General World Knowledge from Texts?},
 booktitle = {Proceedings of the Second International Conference on Human Language Technology Research},
 series = {HLT '02},
 year = {2002},
 location = {San Diego, California},
 pages = {94--97},
 numpages = {4},
 url = {http://dl.acm.org/citation.cfm?id=1289189.1289263},
 acmid = {1289263},
 publisher = {Morgan Kaufmann Publishers Inc.},
}

@inproceedings{schubert2015,
  title={What kinds of knowledge are needed for genuine understanding},
  author={Schubert, Lenhart K},
  booktitle={IJCAI 2015 Workshop on Cognitive Knowledge Acquisition and Applications (Cognitum 2015)},
  year={2015}
}

@article{opensesame,
  author    = {Swabha Swayamdipta and
               Sam Thomson and
               Chris Dyer and
               Noah A. Smith},
  title     = {Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic
               Scaffold},
  journal   = {CoRR},
  volume    = {abs/1706.09528},
  year      = {2017},
  url       = {http://arxiv.org/abs/1706.09528},
  archivePrefix = {arXiv},
  eprint    = {1706.09528},
  timestamp = {Mon, 13 Aug 2018 16:46:11 +0200},
  biburl    = {https://dblp.org/rec/bib/journals/corr/SwayamdiptaTDS17},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

@article{lytinen1992conceptual,
  title={Conceptual dependency and its descendants},
  author={Lytinen, Steven L},
  journal={Computers \& Mathematics with Applications},
  volume={23},
  number={2-5},
  pages={51--73},
  year={1992},
  publisher={Elsevier}
}

@inproceedings{framenetspatial,
    title = "Representing Spatial Relations in FrameNet",
    author = "Petruck, Miriam R. L.  and
      Ellsworth, Michael J.",
    booktitle = "Proceedings of the First International Workshop on Spatial Language Understanding",
    month = jun,
    year = "2018",
    address = "New Orleans",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/W18-1405",
    doi = "10.18653/v1/W18-1405",
    pages = "41--45",
    abstract = "While humans use natural language to express spatial relations between and across entities in the world with great facility, natural language systems have a facility that depends on that human facility. This position paper presents approach to representing spatial relations in language, and advocates its adoption for representing the meaning of spatial language. This work shows the importance of axis-orientation systems for capturing the complexity of spatial relations, which FrameNet encodes with semantic types.",
}

@inproceedings{shen2007using,
  title={Using semantic roles to improve question answering},
  author={Shen, Dan and Lapata, Mirella},
  booktitle={Proceedings of the 2007 joint conference on empirical methods in natural language processing and computational natural language learning (EMNLP-CoNLL)},
  year={2007}
}

@inproceedings{yago,
  title={Yago: a core of semantic knowledge},
  author={Suchanek, Fabian M and Kasneci, Gjergji and Weikum, Gerhard},
  booktitle={Proceedings of the 16th international conference on World Wide Web},
  pages={697--706},
  year={2007},
  organization={ACM}
}

@inproceedings{rahman2011,
 author = {Rahman, Altaf and Ng, Vincent},
 title = {Coreference Resolution with World Knowledge},
 booktitle = {Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies - Volume 1},
 series = {HLT '11},
 year = {2011},
 isbn = {978-1-932432-87-9},
 location = {Portland, Oregon},
 pages = {814--824},
 numpages = {11},
 url = {http://dl.acm.org/citation.cfm?id=2002472.2002575},
 acmid = {2002575},
 publisher = {Association for Computational Linguistics},
} 

@inproceedings{thompson2003generative,
  title={A generative model for semantic role labeling},
  author={Thompson, Cynthia A and Levy, Roger and Manning, Christopher D},
  booktitle={European Conference on Machine Learning},
  pages={397--408},
  year={2003},
  organization={Springer}
}

@inproceedings{giuglea2006semantic,
  title={Semantic role labeling via framenet, verbnet and propbank},
  author={Giuglea, Ana-Maria and Moschitti, Alessandro},
  booktitle={Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the Association for Computational Linguistics},
  pages={929--936},
  year={2006},
  organization={Association for Computational Linguistics}
}

@article{semafor,
author = {Das, Dipanjan and Chen, Desai and Martins, André F. T. and Schneider, Nathan and Smith, Noah A.},
title = {Frame-Semantic Parsing},
journal = {Computational Linguistics},
volume = {40},
number = {1},
pages = {9-56},
year = {2014},
doi = {10.1162/COLI\_a\_00163},

URL = { 
        https://doi.org/10.1162/COLI_a_00163
    
},
eprint = { 
        https://doi.org/10.1162/COLI_a_00163
    
}
}

@article{fillmore1976frame,
  title={Frame semantics and the nature of language},
  author={Fillmore, Charles J},
  journal={Annals of the New York Academy of Sciences},
  volume={280},
  number={1},
  pages={20--32},
  year={1976},
  publisher={Wiley Online Library}
}

@article{gildea2002automatic,
  title={Automatic labeling of semantic roles},
  author={Gildea, Daniel and Jurafsky, Daniel},
  journal={Computational linguistics},
  volume={28},
  number={3},
  pages={245--288},
  year={2002},
  publisher={MIT Press}
}

@book{Charniak:1980:AIP:576572,
 editor = {Charniak, Eugene and Meehan, James R. and Reisbeck, Christopher K. and McDermott, Drew V.},
 title = {Artificial Intelligence Programming},
 year = {1980},
 isbn = {0898596092},
 publisher = {L. Erlbaum Associates Inc.},
 address = {Hillsdale, NJ, USA},
} 

@inproceedings{yamada2004automatic,
  title={Automatic discovery of telic and agentive roles from corpus data},
  author={Yamada, Ichiro and Baldwin, Timothy},
  booktitle={Proceedings of the 18th Pacific Asia Conference on Language, Information and Computation},
  pages={115--126},
  year={2004}
}

@article{miller1995wordnet,
  title={WordNet: a lexical database for English},
  author={Miller, George A},
  journal={Communications of the ACM},
  volume={38},
  number={11},
  pages={39--41},
  year={1995},
  publisher={ACM}
}

@article{elmo,
  title={Deep contextualized word representations},
  author={Peters, Matthew E and Neumann, Mark and Iyyer, Mohit and Gardner, Matt and Clark, Christopher and Lee, Kenton and Zettlemoyer, Luke},
  journal={arXiv preprint arXiv:1802.05365},
  year={2018}
}

@article{pustejovsky1991generative,
  title={The generative lexicon},
  author={Pustejovsky, James},
  journal={Computational linguistics},
  volume={17},
  number={4},
  pages={409--441},
  year={1991},
  publisher={MIT press}
}

@article{allen2013evolution,
  title={The evolution of episodic memory},
  author={Allen, Timothy A and Fortin, Norbert J},
  journal={Proceedings of the National Academy of Sciences},
  volume={110},
  number={Supplement 2},
  pages={10379--10386},
  year={2013},
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@inproceedings{Pichotta:2016:LSS:3016100.3016293,
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}

@InProceedings{chung-fang-gildea-acl11,
  author = {Tagyoung Chung and Licheng Fang and Daniel Gildea},
  title = {Issues Concerning Decoding with Synchronous Context-free Grammar},
  booktitle = {Proceedings of the ACL 2011 Conference Short Papers},
  year = {2011},
  publisher = {Association for Computational Linguistics},
  address = {Portland, Oregon},
}

@Article{chung-cl14,
  author = {Tagyoung Chung and Licheng Fang and Daniel Gildea and Daniel
  \v{S}tefankovi\v{c}},
  title = {Sampling Tree Fragments from Forests},
  journal = {Computational Linguistics},
  year = {2014},
  volume = {40},
  pages = {203--229},
}

@InProceedings{ChungGildea-emnlp10,
  author = {Tagyoung Chung and Daniel Gildea},
  title = {Effects of Empty Categories on Machine Translation},
  booktitle = {Proceedings of EMNLP},
  year = {2010},
  address = {Boston},
  URL = {http://www.cs.rochester.edu/~gildea/pubs/chung-gildea-emnlp10.pdf}
}

@InProceedings{chung-post-gildea-ws10,
  author = {Tagyoung Chung and Matt Post and Daniel Gildea},
  title = {Factors affecting the accuracy of {Korean} parsing},
  booktitle = {NAACL Workshop on Statistical Parsing of Morphologically Rich
  Languages},
  year = {2010},
}

@InProceedings{draicchio2013ESWC,
	author = {F. Draicchio and A. Gangemi and V. Presutti and A.G. Nuzzolese},
    title = { {FRED}: {F}rom natural language text to RDF and OWL in one click },
    booktitle = { P. Cimiano et al. (eds.) , ESWC 2013},
    publisher = {Springer},
    year = {2013},
    pages = {263--267}
}

@InProceedings{Eisner-acl03,
  author = {Jason Eisner},
  title = {Learning non-isomorphic tree mappings for machine translation},
  booktitle = {Proceedings of the 41st Meeting of the Association for
  Computational Linguistics, companion volume},
  year = {2003},
  pages = {205--208},
  address = {Sapporo, Japan}
}

@InProceedings{fang-chung-gildea-acl11,
  author = {Licheng Fang and Tagyoung Chung and Daniel Gildea},
  title = {Terminal-Aware Synchronous Binarization},
  booktitle = {Proceedings of the ACL 2011 Conference Short Papers},
  year = {2011},
  publisher = {Association for Computational Linguistics},
  address = {Portland, Oregon},
}

@InProceedings{flanigan2014ACL,
  author    = {Flanigan, Jeffrey  and  Thomson, Sam  and  Carbonell, Jaime  and  Dyer, Chris  and  Smith, Noah A.},
  title     = {A Discriminative Graph-Based Parser for the Abstract Meaning Representation},
  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {June},
  year      = {2014},
  address   = {Baltimore, Maryland},
  publisher = {Association for Computational Linguistics},
  pages     = {1426--1436},
}

@InProceedings{ge2009IJCNLP,
  author    = {Ge, Ruifang  and  Mooney, Raymond},
  title     = {Learning a Compositional Semantic Parser using an Existing Syntactic Parser},
  booktitle = {Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP},
  month     = {August},
  year      = {2009},
  address   = {Suntec, Singapore},
  publisher = {Association for Computational Linguistics},
  pages     = {611--619},
}

@InProceedings{Gildea-acl03,
  author = {Daniel Gildea},
  title = {Loosely Tree-Based Alignment for Machine Translation},
  booktitle = {Proceedings of ACL-03},
  year = {2003},
  pages = {80--87},
  address = {Sapporo, Japan},
  URL = {http://www.cs.rochester.edu/~gildea/gildea-acl03.pdf}
}

@InProceedings{gordon2013ICSC,
	author = {Jonathan Gordon and Lenhart K. Schubert},
    title = {WordNet hierarchy axiomatization and the mass-count distinction},
    booktitle = {7th IEEE Int. Conf. on Semantic Computing (ICSC 2013)},
    month = {September},
    address = {Irvine, CA},
    year = {2013}
}

@InProceedings{gordon2012AKBC,
  author    = {Gordon, Jonathan  and  Schubert, Lenhart},
  title     = {Using Textual Patterns to Learn Expected Event Frequencies},
  booktitle = {Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)},
  month     = {June},
  year      = {2012},
  address   = {Montr{\'e}al, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {122--127},
}

@inproceedings{gordon2011TI,
	author = {Jonathan Gordon and Lenhart Schubert},
    title = {Discovering commonsense entailment rules implicit in sentences},
	booktitle = {TextInfer 2011 Workshop on Textual Entailment},
    month = { July },
    date = {30},
    address = {Edinburgh},
    year = {2011}
}

@inproceedings{gordon2010CS,
  title={Quantificational Sharpening of Commonsense Knowledge},
  booktitle={Proceedings of the AAAI 2010 Fall Symposium on Commonsense
Knowledge},
  author={Gordon, Jonathan and Schubert, Lenhart},
  year={2010},
  address = {Arlington, VA},
  month = {November},
  date = {11-13},
}

@inproceedings{gordon2013AKBC,
 author = {Gordon, Jonathan and Van Durme, Benjamin},
 title = {Reporting Bias and Knowledge Acquisition},
 booktitle = {Proceedings of the 2013 Workshop on Automated Knowledge Base Construction},
 series = {AKBC '13},
 year = {2013},
 location = {San Francisco, California, USA},
 pages = {25--30},
 numpages = {6},
 publisher = {ACM},
 address = {New York, NY, USA},
} 

@misc{hermjakob2013HLTdemo,
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    title = {{AMR} {E}ditor: {A} Tool to Build Abstract Meaning Representations},
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    publisher = {USC Information Sciences Institute},
    address = {Marina del Rey, CA},
    url = {http://www.isi.edu/~ulf/amr/AMR-editor.html},
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@InProceedings{hovy2006HLT-NAACL,
	author    = {Hovy, Eduard  and  Marcus, Mitchell  and  Palmer, Martha  and  Ramshaw, Lance  and  Weischedel, Ralph},
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  	publisher = {Association for Computational Linguistics},
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  	url       = {http://www.aclweb.org/anthology/N/N06/N06-2015}
}

@InProceedings{howard2014ICRA,
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  author={Thomas M. Howard and Stefanie Tellex and Nicholas Roy},
  booktitle={2014 IEEE International Conference on Robotics and Automation (ICRA)},
  year={2014},
  pages={6652--6659}
}

@InProceedings{hurum1988ANLP,
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@inproceedings{hurum1986AI,
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@phdthesis{hwang1992thesis,
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    year = {1992},
}

@InProceedings{hwang1994ICTL,
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@InCollection{hwang1993STA,
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@InProceedings{jones2012COLING,
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  year      = {2012},
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@book{jurafsky2009book,
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@book{kamp1993book,
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@Inbook{kamp2011chapter,
	author="Kamp, Hans
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	title="Discourse Representation Theory",
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@InProceedings{kate2006COLACL,
  author    = {Kate, Rohit J.  and  Mooney, Raymond J.},
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  year      = {2006},
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  publisher = {Association for Computational Linguistics},
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}


@InProceedings{kazemi-acl14,
  author = {Mohammad Kazemi and Rahman Lavaee and Iftekhar Naim and Daniel
  Gildea},
  title = {Sliding Alignment Windows for Real-Time Crowd Captioning},
  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for
  Computational Linguistics (Volume 2: Short Papers)},
  year = {2014},
  pages = {236--240},
  publisher = {Association for Computational Linguistics},
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}

@Misc{kim2018url,
  author ={Kim, Gene  and  Schubert, Lenhart},
  title = {Annotating Unscoped Episodic Logical Form: A Tutorial},
  howpublished = {http://cs.rochester.edu/u/gkim21/el-annotator/ulf_ann/docs/ann_doc.pdf},
  month = {September},
  year = {2018}
}
  
@InProceedings{kim2016*SEM,
	author    = {Kim, Gene  and  Schubert, Lenhart},
  	title     = {High-Fidelity Lexical Axiom Construction from Verb Glosses},
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  	month     = {August},
  	year      = {2016},
  	address   = {Berlin, Germany},
  	publisher = {Association for Computational Linguistics},
  	pages     = {34--44},
}

%pages     = {}, % TODO: add to entry below when known
@InProceedings{kim2019IWCS,
	author    = {Kim, Gene  and  Schubert, Lenhart},
  	title     = {A Type-coherent, Expressive Representation as an Initial Step to Language Understanding},
  	booktitle = {Proceedings of the 13th International Conference on Computational Semantics},
  	month     = {May},
  	year      = {2019},
  	address   = {Gothenburg, Sweden},
  	publisher = {Association for Computational Linguistics},
}

@InCollection{sep-anaphora,
	author       =	{King, Jeffrey C. and Lewis, Karen S.},
	title        =	{Anaphora},
	booktitle    =	{The Stanford Encyclopedia of Philosophy},
	editor       =	{Edward N. Zalta},
	howpublished =	{\url{https://plato.stanford.edu/archives/sum2017/entries/anaphora/}},
	year         =	{2017},
	edition      =	{Summer 2017},
	publisher    =	{Metaphysics Research Lab, Stanford University}
}

@inproceedings{kipper2000AAAI,
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} 

@inproceedings{kipper2004LREC,
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} 

@InProceedings{kwiatkowski2013EMNLP,
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  year      = {2013},
  address   = {Seattle, Washington, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {1545--1556},
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@InProceedings{kwiatkowski2011EMNLP,
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@InProceedings{langkilde1998ACLCOLING,
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@article{lenat1995ACM,
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@InProceedings{liang2011ACL,
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  publisher = {Association for Computational Linguistics},
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@inproceedings{liu2010ICAART,
  title={Combining Self-motivation with Logical Planning and Inference in a Reward-seeking Agent.},
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@InProceedings{liu2015NAACL,
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@InProceedings{LiuGildea-coling10,
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@InProceedings{LiuGildea-emnlp09,
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  address = {Singapore},
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@InProceedings{LiuGildea-smt08,
  author = {Ding Liu and Daniel Gildea},
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  booktitle = {ACL Workshop on Statistical Machine Translation (ACL08-SMT)},
  year = {2008},
  pages = {62--69},
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}

@InProceedings{maccartney2008COLING,
  author    = {MacCartney, Bill  and  Manning, Christopher D.},
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}

@Article{maletti-siam2009,
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  month = {June},
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}

@InProceedings{manshadi2013ACL,
  author    = {Manshadi, Mehdi  and  Gildea, Daniel  and  Allen, James},
  title     = {Plurality, Negation, and Quantification:Towards Comprehensive Quantifier Scope Disambiguation},
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@article{article,
author = {A. Mathew, Thomas and Graham Katz, E},
year = {2009},
month = {01},
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@inproceedings{meyers2004HLTNAACL,
  author    = {A. Meyers  and R. Reeves  and  C. Macleod  and R. Szekely  and  V. Zielinska  and  B. Young  and  R. Grishman},
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  booktitle = {HLT-NAACL 2004 Workshop: Frontiers in Corpus Annotation },
  editor = {A. Meyers},
  year      = 2004,
  month     = {May 2 - May 7},
  address   = {Boston, Massachusetts, USA},
  publisher = {Association for Computational Linguistics},
  pages     = {24--31}
}

@article{mnih2013nature,
	author = {Mnih, Volodymyr
and Kavukcuoglu, Koray
and Silver, David
and Rusu, Andrei A.
and Veness, Joel
and Bellemare, Marc G.
and Graves, Alex
and Riedmiller, Martin
and Fidjeland, Andreas K.
and Ostrovski, Georg
and Petersen, Stig
and Beattie, Charles
and Sadik, Amir
and Antonoglou, Ioannis
and King, Helen
and Kumaran, Dharshan
and Wierstra, Daan
and Legg, Shane
and Hassabis, Demis},
	title = {Human-level control through deep reinforcement learning},
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    year = {2015},
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}


@incollection{montague1973,
    author = {Montague, Richard},
    title = {The Proper Treatment of Quantification in Ordinary {English}},
    editor = {Hintikka, K. J. J. and Moravcsic, J. and Suppes, P.},
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    publisher = {Reidel},
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    year = 1973,
    bookTitle={Approaches to Natural Language: Proceedings of the 1970 Stanford Workshop on Grammar and Semantics},
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    url={https://doi.org/10.1007/978-94-010-2506-5_10}
}

@article {montague1970,
author = {Montague, Richard},
title = {Universal grammar},
journal = {Theoria},
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publisher = {Blackwell Publishing Ltd},
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year = {1970},
}


@InProceedings{morbini2009LFCR,
  	author		= {Morbini, Fabrizio and Schubert, Lenhart},
  	title		= {Evaluation of {E}pilog: {A} reasoner for {E}pisodic {L}ogic},
  	booktitle	= {Proceedings of the Ninth International Symposium on
Logical Formalizations of Commonsense Reasoning},
  	year		= {2009},
  	address		= {Toronto, Canada},
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}

@inproceedings{morbini2008WMR,
  title={Metareasoning as an integral part of commonsense and autocognitive reasoning},
  author={Morbini, Fabrizio and Schubert, Lenhart},
  booktitle={AAAI-08 Workshop on Metareasoning},
  year={2008}
}

@incollection{morbini2011chapter,
	title = {Metareasoning as an {Integral} {Part} of {Commonsense} and {Autocognitive} {Reasoning}},
	copyright = {Massachusetts Institute of Technology},
	booktitle = {Metareasoning: {Thinking} about thinking},
	publisher = {MIT Press},
	author = {Morbini, Fabrizio and Schubert, Lenhart},
	editor = {Cox, Michael T. and Raja, Anita},
	month = jan,
	year = {2011}
}

@inproceedings{Morbini2007TowardsRA,
  title={Towards Realistic Autocognitive Inference},
  author={Fabrizio Morbini and Lenhart K. Schubert},
  booktitle={AAAI Spring Symposium: Logical Formalizations of Commonsense Reasoning},
  year={2007},
  address = {Menlo Park, CA},
  month = {March},
  date = {26--28},
  pages = {114--118},
  publisher = {AAAI Press},
}

@InProceedings{naim-naacl13,
  author = {Iftekhar Naim and Daniel Gildea and Walter Lasecki and Jeffrey
  Bigham},
  title = {Text Alignment for Real-Time Crowd Captioning},
  booktitle = {Proceedings of the 2013 Meeting of the North American chapter of
  the Association for Computational Linguistics (NAACL-13)},
  year = {2013},
}

@inproceedings{naim-naacl15,
  title="Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments",
  author="Iftekhar Naim and Young Chol Song and Qiguang Liu and Liang Huang and Henry Kautz and Jiebo Luo and Daniel Gildea",
  booktitle=NAACL15,
  year=2015,
  url="http://www.cs.rochester.edu/~gildea/pubs/naim-naacl15.pdf",
}

@article{palmer2005CL,
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 publisher = {MIT Press},
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} 

@InProceedings{peng-gildea16,
  author = {Xiaochang Peng and Daniel Gildea},
  title = {UofR at SemEval-2016 Task 8: Learning synchronous hyperedge 
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  booktitle = {Proceedings of the Workshop on Semantic Evaluation (SemEval-%
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  year = {2016}
}

@book{piaget1923,
	author = {J. Piaget}, 
    title = {Langage {et} pens\'{e}e chez l'enfant ({The Language and Thought of the Child})}, 
    publisher = {Delachaux et Niestl\'{e}},
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@InProceedings{poon2013ACL,
  author    = {Poon, Hoifung},
  title     = {Grounded Unsupervised Semantic Parsing},
  booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {August},
  year      = {2013},
  address   = {Sofia, Bulgaria},
  publisher = {Association for Computational Linguistics},
  pages     = {933--943},
}

@inproceedings{popescu2004COLING,
 author = {Popescu, Ana-Maria and Armanasu, Alex and Etzioni, Oren and Ko, David and Yates, Alexander},
 title = {Modern Natural Language Interfaces to Databases: Composing Statistical Parsing with Semantic Tractability},
 booktitle = {Proceedings of the 20th International Conference on Computational Linguistics},
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 year = {2004},
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} 

@InProceedings{PostGildea-acl09,
  author = {Matt Post and Daniel Gildea},
  title = {Bayesian learning of a tree substitution grammar},
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  year = {2009},
  pages = {45--48},
  address = {Singapore},
}

@inproceedings{purtee2012ATANLP,
 author = {Purtee, Adam and Schubert, Lenhart},
 title = {{TTT}: A Tree Transduction Language for Syntactic and Semantic Processing},
 booktitle = {Proceedings of the Workshop on Applications of Tree Automata Techniques in Natural Language Processing},
 series = {ATANLP '12},
 year = {2012},
 location = {Avignon, France},
 pages = {21--30},
 numpages = {10},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
} 

A. Purtee and L.K. Schubert, "", , , May 12-14, 2017.
@inproceedings{purtee2017ACS,
 author = {Purtee, Adam and Schubert, Lenhart},
 title = {Simple rules for probabilistic commonsense reasoning},
 booktitle = {Proceedings of the 5th Ann. Conf. on Advances in Cognitive Systems (ACS 2017)},
 year = {2017},
 location = {Rensselaer Polytechnic Institute, Troy, NY},
 numpages = {16},
 publisher = {Cognitive Systems Foundation}
} 

@InProceedings{pust2015EMNLP,
  author    = {Pust, Michael  and  Hermjakob, Ulf  and  Knight, Kevin  and  Marcu, Daniel  and  May, Jonathan},
  title     = {Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2015},
  address   = {Lisbon, Portugal},
  publisher = {Association for Computational Linguistics},
  pages     = {1143--1154},
}

@InProceedings{riley-gildea-acl12,
  author = {Darcey Riley and Daniel Gildea},
  title = {Improving the {IBM} Alignment Models Using {Variational Bayes}},
  booktitle = {Association for Computational Linguistics (ACL) short paper},
  year = {2012},
  pages = {306--310},
}

@InProceedings{ross2018EMNLP,
  author = {Candace Ross and Andrei Barbu and Yevgeni Berzak and Battushig Myanganbayar and Boris Katz},
  title = {Grounding language acquisition by training semantic parsers using captioned videos},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  month = {October 31 - November 4},
  year = {2018},
  pages = {2647--2656},
  address = {Brussels, Belgium}
}

@InCollection{ruys2010HPL,
  author    = {E.G. Ruys and Yoad Winter},
  title     = {Quantifier Scope in Formal Linguistics},
  booktitle = {Handbook of Philosophical Logic},
  editor    = {Dov M. Gabbay and Franz Guenthner},
  pages     = {159--225}, 
  year      = {2010},
  publisher = {Springer, Dortrecht}
}

@InProceedings{sawai2015ACL-IJCNLP,
  author    = {Sawai, Yuichiro  and  Shindo, Hiroyuki  and  Matsumoto, Yuji},
  title     = {Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation},
  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {July},
  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  pages     = {851--856},
}

@InProceedings{schubert2014SP,
  	author    = {Schubert, Lenhart},
  	title     = {From Treebank Parses to {E}pisodic {L}ogic and Commonsense Inference},
  	booktitle = {Proceedings of the ACL 2014 Workshop on Semantic Parsing},
  	month     = {June},
  	year      = {2014},
  	address   = {Baltimore, MD},
  	publisher = {Association for Computational Linguistics},
  	pages     = {55--60},
}

@incollection{NIPS2013_5021,
title = {Distributed Representations of Words and Phrases and their Compositionality},
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booktitle = {Advances in Neural Information Processing Systems 26},
editor = {C. J. C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K. Q. Weinberger},
pages = {3111--3119},
year = {2013},
publisher = {Curran Associates, Inc.},
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}


@InCollection{schubert2000book,
	author = {Schubert, Lenhart K. and Hwang, Chung Hee},
 	title = {{E}pisodic {L}ogic Meets {L}ittle {R}ed {R}iding {H}ood: A Comprehensive Natural Representation for Language Understanding},
 	booktitle = {Natural Language Processing and Knowledge Representation},
 	editor = {Iwa\'{n}ska, Lucja M. and Shapiro, Stuart C.},
 	year = {2000},
 	pages = {111--174},
 	numpages = {64},
 	publisher = {MIT Press},
 	address = {Cambridge, MA, USA},
}

@inproceedings{schubert2003HLT,
  author = {Schubert, Lenhart  and  Tong, Matthew},
  title  = {Extracting and evaluating general world knowledge from the {B}rown Corpus},
  booktitle = {Proceedings of the HLT-NAACL 2003 Workshop on Text Meaning},
  year   = 2003,
  pages  = {7--13},
  numpages = {7},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
}

@InCollection{schubert2015SEP,
	author       =	{Schubert, Lenhart},
	title        =	{Computational Linguistics},
	booktitle    =	{The Stanford Encyclopedia of Philosophy},
	editor       =	{Edward N. Zalta},
	howpublished =	{\url{https://plato.stanford.edu/archives/spr2015/entries/computational-linguistics/}},
	year         =	{2015},
	edition      =	{Spring 2015},
	publisher    =	{Metaphysics Research Lab, Stanford University}
}

@inproceedings{schubert2013LiLT,
    author = {Schubert, Lenhart},
    year = {2013},
    pages = {1--26},
    title={{NLog}-like inference and commonsense reasoning},
    booktitle = {Perspectives on Semantic Representations for Textual Inference, special issue of Linguistic Issues in Language Technology (LiLT 9)},
    editor = {A. Zaenen and V. de Paiva and C. Condoravdi},
    volume={9},
}

@InCollection{schubert2000book2,
 	author = {Schubert, Lenhart K.},
 	title = {The Situations We Talk About},
 	booktitle = {Logic-based Artificial Intelligence},
 	editor = {Minker, Jack},
 	year = {2000},
 	pages = {407--439},
 	publisher = {Kluwer Academic Publishers},
 	address = {Norwell, MA, USA},
} 

@inproceedings{schubert-2011,
  title={Towards Adequate Knowledge and Natural Inference).},
  author={Schubert, Lenhart K and Gordon, Jonathan and Stratos, Karl and Rubinoff, Adina},
  booktitle={AAAI Fall Symposium: Advances in Cognitive Systems},
  year={2011}
}

@InProceedings{schubert2010CSK,
 author =       {Lenhart K. Schubert and Benjamin {Van Durme} and Marzieh Bazrafshan},
 title =        {{Entailment Inference in a Natural Logic-like General Reasoner}},
 booktitle = {AAAI Fall Symposium on Commonsense Knowledge (CSK10)},
 year =         {2010},
}

@inproceedings{schubert2015AAAI,
 author = {Schubert, Lenhart},
 title = {Semantic Representation},
 booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
 series = {AAAI'15},
 year = {2016},
 location = {Austin, Texas},
 pages = {4132--4138},
 numpages = {7},
 publisher = {AAAI Press},
} 

@article{schubert1982CL,
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    year = {1982}, 
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@inproceedings{stratos2011KEOD,
  title={{E}pisodic {L}ogic: {N}atural {L}ogic + Reasoning},
  author={Karl Stratos and Lenhart K. Schubert and Jonathan Gordon},
  booktitle = {Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD)},
  year={2011}
}

@inproceedings{tellex2011AAAI,
	author = {Stefanie Tellex and Thomas Kollar and Steven Dickerson and Matthew Walter and Ashis Banerjee and Seth Teller and Nicholas Roy},
	title = {Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation},
	booktitle = {AAAI Conference on Artificial Intelligence},
	year = {2011},
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@InProceedings{vanderwende2015NAACL,
  author    = {Vanderwende, Lucy  and  Menezes, Arul  and  Quirk, Chris},
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  booktitle = {Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
  month     = {June},
  year      = {2015},
  address   = {Denver, Colorado},
  publisher = {Association for Computational Linguistics},
  pages     = {26--30},
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@inproceedings{VanDurme2008OKE,
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 booktitle = {Proceedings of the 2008 Conference on Semantics in Text Processing},
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 year = {2008},
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 pages = {239--254},
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 publisher = {Association for Computational Linguistics},
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} 

@InProceedings{vandurme2009EACL,
  author    = {Van Durme, Benjamin  and  Michalak, Phillip  and  Schubert, Lenhart},
  title     = {Deriving Generalized Knowledge from Corpora Using {WordNet} Abstraction},
  booktitle = {Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)},
  month     = {March},
  year      = {2009},
  address   = {Athens, Greece},
  publisher = {Association for Computational Linguistics},
  pages     = {808--816},
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@InProceedings{wang2015ACL-IJCNLP,
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  title     = {Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers},
  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {July},
  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  pages     = {857--862},
}

@InProceedings{wang2015NAACL-HLT,
  author    = {Wang, Chuan  and  Xue, Nianwen  and  Pradhan, Sameer},
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  year      = {2015},
  address   = {Denver, Colorado},
  publisher = {Association for Computational Linguistics},
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@InProceedings{werling2015ACL-IJCNLP,
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  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
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  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  pages     = {982--991},
}

@InProceedings{ZhaoGildea-emnlp10,
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@inproceedings{gordon2010LFCR,
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@book{poesio2016book,
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  booktitle = {Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
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@incollection{bos2017GMB,
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@inproceedings{flickinger2012,
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@inproceedings{razavi2017ACS,
	author = {S.Z. Razavi and L.K. Schubert and M.R. Ali and H.E. Hoque},
    title = {Managing casual spoken dialogue using flexible schemas, pattern transduction trees, and gist clauses},
    booktitle = {5th Ann.  Conf. on Advances in Cognitive Systems (ACS 2017)},
    year = {2017},
    address = {Rensselaer Polytechnic Institute, Troy, NY},
    month = {May},
    dates = {12--14},
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@Misc{razavi2017NYCWiC,
  author =       {S.Z. Razavi and L.K. Schubert},
  title =        {An automated virtual human for helping teens with {ASD} improve their conversational skills},
  howpublished = {ACM New York
Celebration of Women in Computing (NYCWiC 2017)},
  address = {RIT, Henrietta, NY},
  year =         {2017},
  month =        {April},
  dates = {21--22},
  note = {abstract}
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@inproceedings{razavi2016YRRSDS,
	author = {S.Z. Razavi},
    title = {Designing an automatic dialogue manager for a virtual conversational agent},
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@inproceedings{razavi2016IVA,
	author = {S.Z. Razavi and M.R. Ali and T.H. Smith and L.K. Schubert and M.E. Hoque},
    title = {The {LISSA} virtual human and {ASD} teens: An overview of initial experiments},
    booktitle = {Proc. of the 16th Int. Conf. on Intelligent Virtual Agents (IVA 2016)},
    month = {September},
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@InProceedings{kim2017SemBEaR,
  author    = {Kim, Gene  and  Schubert, Lenhart},
  title     = {Intension, Attitude, and Tense Annotation in a High-Fidelity Semantic Representation},
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  month     = {April},
  year      = {2017},
  address   = {Valencia, Spain},
  publisher = {Association for Computational Linguistics},
  pages     = {10--15},
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@InProceedings{peng2015conll,
  author = {Xiaochang Peng and Linfeng Song and Daniel Gildea},
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  year      = {2015},
  pages     = {731--739},
  address="Beijing",
  url      = {https://www.cs.rochester.edu/u/gildea/pubs/peng-conll15.pdf}
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@InProceedings{peng-aaai18,
  author = {Xiaochang Peng and Daniel Gildea and Giorgio Satta},
  title = {{AMR} Parsing with Cache Transition Systems},
  booktitle = {Proceedings of the National Conference on Artificial
  Intelligence (AAAI-18)},
  year = {2018},
  URL = {https://www.cs.rochester.edu/u/gildea/pubs/peng-aaai18.pdf}
}

@InProceedings{peng-acl18,
  author = {Xiaochang Peng and Linfeng Song and Daniel Gildea and Giorgio
  Satta},
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	author = {A. Butler and K. Yoshimoto},
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    year = {2012}
}

@InProceedings{cai2013ACL,
  author    = {Cai, Shu  and  Knight, Kevin},
  title     = {Smatch: an Evaluation Metric for Semantic Feature Structures},
  booktitle = {Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)},
  month     = {August},
  year      = {2013},
  address   = {Sofia, Bulgaria},
  publisher = {Association for Computational Linguistics},
  pages     = {748--752},
}

@phdthesis{carlson1980,
	author = {G.N. Carlson},
    title = { Reference to kinds in English },
    school={University of Massachussetts, Amherst},
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}

@InProceedings{chung-fang-gildea-acl11,
  author = {Tagyoung Chung and Licheng Fang and Daniel Gildea},
  title = {Issues Concerning Decoding with Synchronous Context-free Grammar},
  booktitle = {Proceedings of the ACL 2011 Conference Short Papers},
  year = {2011},
  publisher = {Association for Computational Linguistics},
  address = {Portland, Oregon},
}

@Article{chung-cl14,
  author = {Tagyoung Chung and Licheng Fang and Daniel Gildea and Daniel
  \v{S}tefankovi\v{c}},
  title = {Sampling Tree Fragments from Forests},
  journal = {Computational Linguistics},
  year = {2014},
  volume = {40},
  pages = {203--229},
}

@InProceedings{ChungGildea-emnlp10,
  author = {Tagyoung Chung and Daniel Gildea},
  title = {Effects of Empty Categories on Machine Translation},
  booktitle = {Proceedings of EMNLP},
  year = {2010},
  address = {Boston},
  URL = {http://www.cs.rochester.edu/~gildea/pubs/chung-gildea-emnlp10.pdf}
}

@InProceedings{chung-post-gildea-ws10,
  author = {Tagyoung Chung and Matt Post and Daniel Gildea},
  title = {Factors affecting the accuracy of {Korean} parsing},
  booktitle = {NAACL Workshop on Statistical Parsing of Morphologically Rich
  Languages},
  year = {2010},
}

@InProceedings{draicchio2013ESWC,
	author = {F. Draicchio and A. Gangemi and V. Presutti and A.G. Nuzzolese},
    title = { {FRED}: {F}rom natural language text to RDF and OWL in one click },
    booktitle = { P. Cimiano et al. (eds.) , ESWC 2013},
    publisher = {Springer},
    year = {2013},
    pages = {263--267}
}

@InProceedings{Eisner-acl03,
  author = {Jason Eisner},
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  booktitle = {Proceedings of the 41st Meeting of the Association for
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  year = {2003},
  pages = {205--208},
  address = {Sapporo, Japan}
}

@InProceedings{fang-chung-gildea-acl11,
  author = {Licheng Fang and Tagyoung Chung and Daniel Gildea},
  title = {Terminal-Aware Synchronous Binarization},
  booktitle = {Proceedings of the ACL 2011 Conference Short Papers},
  year = {2011},
  publisher = {Association for Computational Linguistics},
  address = {Portland, Oregon},
}

@InProceedings{flanigan2014ACL,
  author    = {Flanigan, Jeffrey  and  Thomson, Sam  and  Carbonell, Jaime  and  Dyer, Chris  and  Smith, Noah A.},
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  booktitle = {Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)},
  month     = {June},
  year      = {2014},
  address   = {Baltimore, Maryland},
  publisher = {Association for Computational Linguistics},
  pages     = {1426--1436},
}

@InProceedings{ge2009IJCNLP,
  author    = {Ge, Ruifang  and  Mooney, Raymond},
  title     = {Learning a Compositional Semantic Parser using an Existing Syntactic Parser},
  booktitle = {Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP},
  month     = {August},
  year      = {2009},
  address   = {Suntec, Singapore},
  publisher = {Association for Computational Linguistics},
  pages     = {611--619},
}

@InProceedings{Gildea-acl03,
  author = {Daniel Gildea},
  title = {Loosely Tree-Based Alignment for Machine Translation},
  booktitle = {Proceedings of ACL-03},
  year = {2003},
  pages = {80--87},
  address = {Sapporo, Japan},
  URL = {http://www.cs.rochester.edu/~gildea/gildea-acl03.pdf}
}

@InProceedings{gordon2013ICSC,
	author = {Jonathan Gordon and Lenhart K. Schubert},
    title = {WordNet hierarchy axiomatization and the mass-count distinction},
    booktitle = {7th IEEE Int. Conf. on Semantic Computing (ICSC 2013)},
    month = {September},
    address = {Irvine, CA},
    year = {2013}
}

@InProceedings{gordon2012AKBC,
  author    = {Gordon, Jonathan  and  Schubert, Lenhart},
  title     = {Using Textual Patterns to Learn Expected Event Frequencies},
  booktitle = {Proceedings of the Joint Workshop on Automatic Knowledge Base Construction and Web-scale Knowledge Extraction (AKBC-WEKEX)},
  month     = {June},
  year      = {2012},
  address   = {Montr{\'e}al, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {122--127},
}

@inproceedings{gordon2011TI,
	author = {Jonathan Gordon and Lenhart Schubert},
    title = {Discovering commonsense entailment rules implicit in sentences},
	booktitle = {TextInfer 2011 Workshop on Textual Entailment},
    month = { July },
    date = {30},
    address = {Edinburgh},
    year = {2011}
}

@inproceedings{gordon2010CS,
  title={Quantificational Sharpening of Commonsense Knowledge},
  booktitle={Proceedings of the AAAI 2010 Fall Symposium on Commonsense
Knowledge},
  author={Gordon, Jonathan and Schubert, Lenhart},
  year={2010},
  address = {Arlington, VA},
  month = {November},
  date = {11-13},
}

@inproceedings{gordon2013AKBC,
 author = {Gordon, Jonathan and Van Durme, Benjamin},
 title = {Reporting Bias and Knowledge Acquisition},
 booktitle = {Proceedings of the 2013 Workshop on Automated Knowledge Base Construction},
 series = {AKBC '13},
 year = {2013},
 location = {San Francisco, California, USA},
 pages = {25--30},
 numpages = {6},
 publisher = {ACM},
 address = {New York, NY, USA},
} 

@misc{hermjakob2013HLTdemo,
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@InProceedings{hovy2006HLT-NAACL,
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@InProceedings{howard2014ICRA,
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  pages={6652--6659}
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@InProceedings{hurum1988ANLP,
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@phdthesis{hwang1992thesis,
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@InProceedings{hwang1994ICTL,
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@InProceedings{jones2012COLING,
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@Inbook{kamp2011chapter,
	author="Kamp, Hans
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@InProceedings{kate2006COLACL,
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@InProceedings{kazemi-acl14,
  author = {Mohammad Kazemi and Rahman Lavaee and Iftekhar Naim and Daniel
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@Misc{kim2018url,
  author ={Kim, Gene  and  Schubert, Lenhart},
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  month = {September},
  year = {2018}
}
  
@InProceedings{kim2016*SEM,
	author    = {Kim, Gene  and  Schubert, Lenhart},
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  	month     = {August},
  	year      = {2016},
  	address   = {Berlin, Germany},
  	publisher = {Association for Computational Linguistics},
  	pages     = {34--44},
}

%pages     = {}, % TODO: add to entry below when known
@InProceedings{kim2019IWCS,
	author    = {Kim, Gene  and  Schubert, Lenhart},
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  	month     = {May},
  	year      = {2019},
  	address   = {Gothenburg, Sweden},
  	publisher = {Association for Computational Linguistics},
}

@InCollection{sep-anaphora,
	author       =	{King, Jeffrey C. and Lewis, Karen S.},
	title        =	{Anaphora},
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	editor       =	{Edward N. Zalta},
	howpublished =	{\url{https://plato.stanford.edu/archives/sum2017/entries/anaphora/}},
	year         =	{2017},
	edition      =	{Summer 2017},
	publisher    =	{Metaphysics Research Lab, Stanford University}
}

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@InProceedings{kwiatkowski2013EMNLP,
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@InProceedings{kwiatkowski2011EMNLP,
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@InProceedings{langkilde1998ACLCOLING,
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@article{lenat1995ACM,
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@InProceedings{liang2011ACL,
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@inproceedings{liu2010ICAART,
  title={Combining Self-motivation with Logical Planning and Inference in a Reward-seeking Agent.},
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@InProceedings{liu2015NAACL,
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@InProceedings{LiuGildea-coling10,
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@InProceedings{LiuGildea-emnlp09,
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@InProceedings{LiuGildea-smt08,
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@InProceedings{maccartney2008COLING,
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@Article{maletti-siam2009,
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@InProceedings{manshadi2013ACL,
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@article{article,
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@inproceedings{meyers2004HLTNAACL,
  author    = {A. Meyers  and R. Reeves  and  C. Macleod  and R. Szekely  and  V. Zielinska  and  B. Young  and  R. Grishman},
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  month     = {May 2 - May 7},
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@article{mnih2013nature,
	author = {Mnih, Volodymyr
and Kavukcuoglu, Koray
and Silver, David
and Rusu, Andrei A.
and Veness, Joel
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and Riedmiller, Martin
and Fidjeland, Andreas K.
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and Beattie, Charles
and Sadik, Amir
and Antonoglou, Ioannis
and King, Helen
and Kumaran, Dharshan
and Wierstra, Daan
and Legg, Shane
and Hassabis, Demis},
	title = {Human-level control through deep reinforcement learning},
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@incollection{montague1973,
    author = {Montague, Richard},
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@article {montague1970,
author = {Montague, Richard},
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@InProceedings{morbini2009LFCR,
  	author		= {Morbini, Fabrizio and Schubert, Lenhart},
  	title		= {Evaluation of {E}pilog: {A} reasoner for {E}pisodic {L}ogic},
  	booktitle	= {Proceedings of the Ninth International Symposium on
Logical Formalizations of Commonsense Reasoning},
  	year		= {2009},
  	address		= {Toronto, Canada},
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}

@inproceedings{morbini2008WMR,
  title={Metareasoning as an integral part of commonsense and autocognitive reasoning},
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  booktitle={AAAI-08 Workshop on Metareasoning},
  year={2008}
}

@incollection{morbini2011chapter,
	title = {Metareasoning as an {Integral} {Part} of {Commonsense} and {Autocognitive} {Reasoning}},
	copyright = {Massachusetts Institute of Technology},
	booktitle = {Metareasoning: {Thinking} about thinking},
	publisher = {MIT Press},
	author = {Morbini, Fabrizio and Schubert, Lenhart},
	editor = {Cox, Michael T. and Raja, Anita},
	month = jan,
	year = {2011}
}

@inproceedings{Morbini2007TowardsRA,
  title={Towards Realistic Autocognitive Inference},
  author={Fabrizio Morbini and Lenhart K. Schubert},
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  year={2007},
  address = {Menlo Park, CA},
  month = {March},
  date = {26--28},
  pages = {114--118},
  publisher = {AAAI Press},
}

@InProceedings{naim-naacl13,
  author = {Iftekhar Naim and Daniel Gildea and Walter Lasecki and Jeffrey
  Bigham},
  title = {Text Alignment for Real-Time Crowd Captioning},
  booktitle = {Proceedings of the 2013 Meeting of the North American chapter of
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  year = {2013},
}

@inproceedings{naim-naacl15,
  title="Discriminative Unsupervised Alignment of Natural Language Instructions with Corresponding Video Segments",
  author="Iftekhar Naim and Young Chol Song and Qiguang Liu and Liang Huang and Henry Kautz and Jiebo Luo and Daniel Gildea",
  booktitle=NAACL15,
  year=2015,
  url="http://www.cs.rochester.edu/~gildea/pubs/naim-naacl15.pdf",
}

@article{palmer2005CL,
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@InProceedings{peng-gildea16,
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              2016), NAACL-HLT 2016},
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@book{piaget1923,
	author = {J. Piaget}, 
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@InProceedings{poon2013ACL,
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@inproceedings{popescu2004COLING,
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@InProceedings{PostGildea-acl09,
  author = {Matt Post and Daniel Gildea},
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  pages = {45--48},
  address = {Singapore},
}

@inproceedings{purtee2012ATANLP,
 author = {Purtee, Adam and Schubert, Lenhart},
 title = {{TTT}: A Tree Transduction Language for Syntactic and Semantic Processing},
 booktitle = {Proceedings of the Workshop on Applications of Tree Automata Techniques in Natural Language Processing},
 series = {ATANLP '12},
 year = {2012},
 location = {Avignon, France},
 pages = {21--30},
 numpages = {10},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
} 

A. Purtee and L.K. Schubert, "", , , May 12-14, 2017.
@inproceedings{purtee2017ACS,
 author = {Purtee, Adam and Schubert, Lenhart},
 title = {Simple rules for probabilistic commonsense reasoning},
 booktitle = {Proceedings of the 5th Ann. Conf. on Advances in Cognitive Systems (ACS 2017)},
 year = {2017},
 location = {Rensselaer Polytechnic Institute, Troy, NY},
 numpages = {16},
 publisher = {Cognitive Systems Foundation}
} 

@InProceedings{pust2015EMNLP,
  author    = {Pust, Michael  and  Hermjakob, Ulf  and  Knight, Kevin  and  Marcu, Daniel  and  May, Jonathan},
  title     = {Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation},
  booktitle = {Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing},
  month     = {September},
  year      = {2015},
  address   = {Lisbon, Portugal},
  publisher = {Association for Computational Linguistics},
  pages     = {1143--1154},
}

@InProceedings{riley-gildea-acl12,
  author = {Darcey Riley and Daniel Gildea},
  title = {Improving the {IBM} Alignment Models Using {Variational Bayes}},
  booktitle = {Association for Computational Linguistics (ACL) short paper},
  year = {2012},
  pages = {306--310},
}

@InProceedings{ross2018EMNLP,
  author = {Candace Ross and Andrei Barbu and Yevgeni Berzak and Battushig Myanganbayar and Boris Katz},
  title = {Grounding language acquisition by training semantic parsers using captioned videos},
  booktitle = {Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP)},
  month = {October 31 - November 4},
  year = {2018},
  pages = {2647--2656},
  address = {Brussels, Belgium}
}

@InCollection{ruys2010HPL,
  author    = {E.G. Ruys and Yoad Winter},
  title     = {Quantifier Scope in Formal Linguistics},
  booktitle = {Handbook of Philosophical Logic},
  editor    = {Dov M. Gabbay and Franz Guenthner},
  pages     = {159--225}, 
  year      = {2010},
  publisher = {Springer, Dortrecht}
}

@InProceedings{sawai2015ACL-IJCNLP,
  author    = {Sawai, Yuichiro  and  Shindo, Hiroyuki  and  Matsumoto, Yuji},
  title     = {Semantic Structure Analysis of Noun Phrases using Abstract Meaning Representation},
  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {July},
  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  pages     = {851--856},
}

@InProceedings{schubert2014SP,
  	author    = {Schubert, Lenhart},
  	title     = {From Treebank Parses to {E}pisodic {L}ogic and Commonsense Inference},
  	booktitle = {Proceedings of the ACL 2014 Workshop on Semantic Parsing},
  	month     = {June},
  	year      = {2014},
  	address   = {Baltimore, MD},
  	publisher = {Association for Computational Linguistics},
  	pages     = {55--60},
}


@InCollection{schubert2000book,
	author = {Schubert, Lenhart K. and Hwang, Chung Hee},
 	title = {{E}pisodic {L}ogic Meets {L}ittle {R}ed {R}iding {H}ood: A Comprehensive Natural Representation for Language Understanding},
 	booktitle = {Natural Language Processing and Knowledge Representation},
 	editor = {Iwa\'{n}ska, Lucja M. and Shapiro, Stuart C.},
 	year = {2000},
 	pages = {111--174},
 	numpages = {64},
 	publisher = {MIT Press},
 	address = {Cambridge, MA, USA},
}

@inproceedings{schubert2003HLT,
  author = {Schubert, Lenhart  and  Tong, Matthew},
  title  = {Extracting and evaluating general world knowledge from the {B}rown Corpus},
  booktitle = {Proceedings of the HLT-NAACL 2003 Workshop on Text Meaning},
  year   = 2003,
  pages  = {7--13},
  numpages = {7},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
}

@InCollection{schubert2015SEP,
	author       =	{Schubert, Lenhart},
	title        =	{Computational Linguistics},
	booktitle    =	{The Stanford Encyclopedia of Philosophy},
	editor       =	{Edward N. Zalta},
	howpublished =	{\url{https://plato.stanford.edu/archives/spr2015/entries/computational-linguistics/}},
	year         =	{2015},
	edition      =	{Spring 2015},
	publisher    =	{Metaphysics Research Lab, Stanford University}
}

@inproceedings{schubert2013LiLT,
    author = {Schubert, Lenhart},
    year = {2013},
    pages = {1--26},
    title={{NLog}-like inference and commonsense reasoning},
    booktitle = {Perspectives on Semantic Representations for Textual Inference, special issue of Linguistic Issues in Language Technology (LiLT 9)},
    editor = {A. Zaenen and V. de Paiva and C. Condoravdi},
    volume={9},
}

@InCollection{schubert2000book2,
 	author = {Schubert, Lenhart K.},
 	title = {The Situations We Talk About},
 	booktitle = {Logic-based Artificial Intelligence},
 	editor = {Minker, Jack},
 	year = {2000},
 	pages = {407--439},
 	publisher = {Kluwer Academic Publishers},
 	address = {Norwell, MA, USA},
} 

@inproceedings{schubert-2011,
  title={Towards Adequate Knowledge and Natural Inference).},
  author={Schubert, Lenhart K and Gordon, Jonathan and Stratos, Karl and Rubinoff, Adina},
  booktitle={AAAI Fall Symposium: Advances in Cognitive Systems},
  year={2011}
}

@InProceedings{schubert2010CSK,
 author =       {Lenhart K. Schubert and Benjamin {Van Durme} and Marzieh Bazrafshan},
 title =        {{Entailment Inference in a Natural Logic-like General Reasoner}},
 booktitle = {AAAI Fall Symposium on Commonsense Knowledge (CSK10)},
 year =         {2010},
}

@inproceedings{schubert2015AAAI,
 author = {Schubert, Lenhart},
 title = {Semantic Representation},
 booktitle = {Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence},
 series = {AAAI'15},
 year = {2016},
 location = {Austin, Texas},
 pages = {4132--4138},
 numpages = {7},
 publisher = {AAAI Press},
} 

@article{schubert1982CL,
	author = {L.K. Schubert and F.J. Pelletier}, 
    title = {From {E}nglish to logic: Context-free computation of 'conventional' logical translations}, 
    journal = {Am. J. of Computational Linguistics 8 [now Computational Linguistics]}, 
    pages = {26--44}, 
    volume = {8},
    year = {1982}, 
}

@inproceedings{stratos2011KEOD,
  title={{E}pisodic {L}ogic: {N}atural {L}ogic + Reasoning},
  author={Karl Stratos and Lenhart K. Schubert and Jonathan Gordon},
  booktitle = {Proceedings of the International Conference on Knowledge Engineering and Ontology Development (KEOD)},
  year={2011}
}

@inproceedings{tellex2011AAAI,
	author = {Stefanie Tellex and Thomas Kollar and Steven Dickerson and Matthew Walter and Ashis Banerjee and Seth Teller and Nicholas Roy},
	title = {Understanding Natural Language Commands for Robotic Navigation and Mobile Manipulation},
	booktitle = {AAAI Conference on Artificial Intelligence},
	year = {2011},
}

@book{benthem1986book,
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@InProceedings{vanderwende2015NAACL,
  author    = {Vanderwende, Lucy  and  Menezes, Arul  and  Quirk, Chris},
  title     = {An AMR parser for English, French, German, Spanish and Japanese and a new AMR-annotated corpus},
  booktitle = {Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations},
  month     = {June},
  year      = {2015},
  address   = {Denver, Colorado},
  publisher = {Association for Computational Linguistics},
  pages     = {26--30},
}

@inproceedings{VanDurme2008OKE,
 author = {Van Durme, Benjamin and Schubert, Lenhart},
 title = {Open Knowledge Extraction Through Compositional Language Processing},
 booktitle = {Proceedings of the 2008 Conference on Semantics in Text Processing},
 series = {STEP '08},
 year = {2008},
 location = {Venice, Italy},
 pages = {239--254},
 numpages = {16},
 publisher = {Association for Computational Linguistics},
 address = {Stroudsburg, PA, USA},
} 

@InProceedings{vandurme2009EACL,
  author    = {Van Durme, Benjamin  and  Michalak, Phillip  and  Schubert, Lenhart},
  title     = {Deriving Generalized Knowledge from Corpora Using {WordNet} Abstraction},
  booktitle = {Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009)},
  month     = {March},
  year      = {2009},
  address   = {Athens, Greece},
  publisher = {Association for Computational Linguistics},
  pages     = {808--816},
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@InProceedings{wang2015ACL-IJCNLP,
  author    = {Wang, Chuan  and  Xue, Nianwen  and  Pradhan, Sameer},
  title     = {Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers},
  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)},
  month     = {July},
  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  pages     = {857--862},
}

@InProceedings{wang2015NAACL-HLT,
  author    = {Wang, Chuan  and  Xue, Nianwen  and  Pradhan, Sameer},
  title     = {A Transition-based Algorithm for AMR Parsing},
  booktitle = {Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies},
  month     = {May--June},
  year      = {2015},
  address   = {Denver, Colorado},
  publisher = {Association for Computational Linguistics},
  pages     = {366--375},
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@InProceedings{werling2015ACL-IJCNLP,
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  booktitle = {Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)},
  month     = {July},
  year      = {2015},
  address   = {Beijing, China},
  publisher = {Association for Computational Linguistics},
  pages     = {982--991},
}

@InProceedings{ZhaoGildea-emnlp10,
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@Misc{bateman1990,
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@InProceedings{song-etc-emnlp16,
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@article{ClaEtz2016,
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@InProceedings{reddy2017EMNLP,
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@inproceedings{schubert1990tensetrees,
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@inproceedings{gordon2010LFCR,
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@article{elnlog,
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@inproceedings{mostafazadeh-etal-2016-corpus,
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@book{poesio2016book,
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@InProceedings{konstas2017ACL,
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  address   = {Vancouver, Canada},
  publisher = {Association for Computational Linguistics},
  pages     = {146--157},
}

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   booktitle = {Handbook of Linguistic Annotation},
   editor    = {Ide, Nancy and Pustejovsky, James},
   publisher = {Springer},
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    booktitle = {5th Ann.  Conf. on Advances in Cognitive Systems (ACS 2017)},
    year = {2017},
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}

@Misc{razavi2017NYCWiC,
  author =       {S.Z. Razavi and L.K. Schubert},
  title =        {An automated virtual human for helping teens with {ASD} improve their conversational skills},
  howpublished = {ACM New York
Celebration of Women in Computing (NYCWiC 2017)},
  address = {RIT, Henrietta, NY},
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@inproceedings{razavi2016YRRSDS,
	author = {S.Z. Razavi},
    title = {Designing an automatic dialogue manager for a virtual conversational agent},
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@inproceedings{razavi2016IVA,
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    year = {2016}
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  year      = {2017},
  address   = {Valencia, Spain},
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  year      = {2015},
  pages     = {731--739},
  address="Beijing",
  url      = {https://www.cs.rochester.edu/u/gildea/pubs/peng-conll15.pdf}
}

@InProceedings{peng-aaai18,
  author = {Xiaochang Peng and Daniel Gildea and Giorgio Satta},
  title = {{AMR} Parsing with Cache Transition Systems},
  booktitle = {Proceedings of the National Conference on Artificial
  Intelligence (AAAI-18)},
  year = {2018},
  URL = {https://www.cs.rochester.edu/u/gildea/pubs/peng-aaai18.pdf}
}

@InProceedings{peng-acl18,
  author = {Xiaochang Peng and Linfeng Song and Daniel Gildea and Giorgio
  Satta},
  title = {Sequence-to-sequence Models for Cache Transition Systems},
  booktitle = {Proceedings of the 56th Annual Meeting of the Association for
  Computational Linguistics (ACL-18)},
  year = {2018},
  URL = {https://www.cs.rochester.edu/u/gildea/pubs/peng-acl18.pdf}
}

@Article{gildea-satta-cl18,
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  volume = {44},
  number = {1},
  pages = {85--118},
  URL = {https://www.cs.rochester.edu/u/gildea/pubs/gildea-satta-cl18.pdf}
}

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}

@InProceedings{chambers2013EMNLP,
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    year = "2013",
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}

@InProceedings{pichotta2016WS,
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    year = "2016",
    publisher = "Association for Computational Linguistics",
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    location = "Austin, TX",
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}

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title = {Distributed Representations of Words and Phrases and their Compositionality},
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booktitle = {Advances in Neural Information Processing Systems 26},
editor = {C. J. C. Burges and L. Bottou and M. Welling and Z. Ghahramani and K. Q. Weinberger},
pages = {3111--3119},
year = {2013},
publisher = {Curran Associates, Inc.},
url = {http://papers.nips.cc/paper/5021-distributed-representations-of-words-and-phrases-and-their-compositionality.pdf}
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@inproceedings{yuan2018OEP,
    author = {Yuan, Quan and Ren, Xiang and He, Wenqi and Zhang, Chao and Geng, Xinhe and Huang, Lifu and Ji, Heng and Lin, Chin-Yew and Han, Jiawei},
    title = {Open-Schema Event Profiling for Massive News Corpora},
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    series = {CIKM '18},
    year = {2018},
    isbn = {978-1-4503-6014-2},
    location = {Torino, Italy},
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    doi = {10.1145/3269206.3271674},
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    keywords = {event detection, news summarization, schema induction},
} 

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    author = "Wanzare, Lilian
            and Zarcone, Alessandra
            and Thater, Stefan
            and Pinkal, Manfred",
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    booktitle = "Proceedings of the 2nd Workshop on Linking Models of Lexical, Sentential and Discourse-level Semantics",
    year = "2017",
    publisher = "Association for Computational Linguistics",
    pages = "1--11",
    location = "Valencia, Spain",
    doi = "10.18653/v1/W17-0901",
    url = "http://aclweb.org/anthology/W17-0901",
}

@inproceedings{kim2019FLAIRS,
    title={Towards Parsing Unscoped Episodic Logical Forms with a Cache Transition Parser},
    author={Gene Louis Kim},
    booktitle={the Poster Abstracts of the Proceedings of the 32nd International Conference of the Florida Artificial Intelligence Research Society},
    year={2019},
    location={Sarasota, Florida, USA},
}

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@inproceedings{gpt-too,
    title = "{GPT}-too: A Language-Model-First Approach for {AMR}-to-Text Generation",
    author = "Mager, Manuel  and
      Fernandez Astudillo, Ram{\'o}n  and
      Naseem, Tahira  and
      Sultan, Md Arafat  and
      Lee, Young-Suk  and
      Florian, Radu  and
      Roukos, Salim",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.167",
    doi = "10.18653/v1/2020.acl-main.167",
    pages = "1846--1852",
    abstract = "Abstract Meaning Representations (AMRs) are broad-coverage sentence-level semantic graphs. Existing approaches to generating text from AMR have focused on training sequence-to-sequence or graph-to-sequence models on AMR annotated data only. In this paper, we propose an alternative approach that combines a strong pre-trained language model with cycle consistency-based re-scoring. Despite the simplicity of the approach, our experimental results show these models outperform all previous techniques on the English LDC2017T10 dataset, including the recent use of transformer architectures. In addition to the standard evaluation metrics, we provide human evaluation experiments that further substantiate the strength of our approach.",
}
@inproceedings{amr,
    title = "{A}bstract {M}eaning {R}epresentation for Sembanking",
    author = "Banarescu, Laura  and
      Bonial, Claire  and
      Cai, Shu  and
      Georgescu, Madalina  and
      Griffitt, Kira  and
      Hermjakob, Ulf  and
      Knight, Kevin  and
      Koehn, Philipp  and
      Palmer, Martha  and
      Schneider, Nathan",
    booktitle = "Proceedings of the 7th Linguistic Annotation Workshop and Interoperability with Discourse",
    month = aug,
    year = "2013",
    address = "Sofia, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W13-2322",
    pages = "178--186",
}
@inproceedings{kim-etal-2020-monotonic,
  title={Monotonic Inference for Underspecified Episodic Logic},
  author={Kim, Gene Louis and Juvekar, Mandar and Schubert, Lenhart},
  booktitle={Proceedings of the Workshop Natural Logic Meets Machine Learning},
  year={2020},
  month={July},
  dates={12--17},
  location={Waltham, USA},
}
@inproceedings{Radford2019LanguageMA,
  title={Language Models are Unsupervised Multitask Learners},
  author={Alec Radford and Jeff Wu and Rewon Child and David Luan and Dario Amodei and Ilya Sutskever},
  year={2019}
}
@inproceedings{cai-knight-2013-smatch,
    title = "{S}match: an Evaluation Metric for Semantic Feature Structures",
    author = "Cai, Shu  and
      Knight, Kevin",
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    month = aug,
    year = "2013",
    address = "Sofia, Bulgaria",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P13-2131",
    pages = "748--752",
}
@inproceedings{papineni-etal-2002-bleu,
    title = "{B}leu: a Method for Automatic Evaluation of Machine Translation",
    author = "Papineni, Kishore  and
      Roukos, Salim  and
      Ward, Todd  and
      Zhu, Wei-Jing",
    booktitle = "Proceedings of the 40th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2002",
    address = "Philadelphia, Pennsylvania, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P02-1040",
    doi = "10.3115/1073083.1073135",
    pages = "311--318",
}
@inproceedings{ma-etal-2019-results,
    title = "Results of the {WMT}19 Metrics Shared Task: Segment-Level and Strong {MT} Systems Pose Big Challenges",
    author = "Ma, Qingsong  and
      Wei, Johnny  and
      Bojar, Ond{\v{r}}ej  and
      Graham, Yvette",
    booktitle = "Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)",
    month = aug,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W19-5302",
    doi = "10.18653/v1/W19-5302",
    pages = "62--90",
    abstract = "This paper presents the results of the WMT19 Metrics Shared Task. Participants were asked to score the outputs of the translations systems competing in the WMT19 News Translation Task with automatic metrics. 13 research groups submitted 24 metrics, 10 of which are reference-less {``}metrics{''} and constitute submissions to the joint task with WMT19 Quality Estimation Task, {``}QE as a Metric{''}. In addition, we computed 11 baseline metrics, with 8 commonly applied baselines (BLEU, SentBLEU, NIST, WER, PER, TER, CDER, and chrF) and 3 reimplementations (chrF+, sacreBLEU-BLEU, and sacreBLEU-chrF). Metrics were evaluated on the system level, how well a given metric correlates with the WMT19 official manual ranking, and segment level, how well the metric correlates with human judgements of segment quality. This year, we use direct assessment (DA) as our only form of manual evaluation.",
}
@inproceedings{banerjee-lavie-2005-meteor,
    title = "{METEOR}: An Automatic Metric for {MT} Evaluation with Improved Correlation with Human Judgments",
    author = "Banerjee, Satanjeev  and
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    address = "Ann Arbor, Michigan",
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    year = "2017",
    address = "Copenhagen, Denmark",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W17-4770",
    doi = "10.18653/v1/W17-4770",
    pages = "612--618",
}
@inproceedings{flanigan-etal-2016-generation,
    title = "Generation from {A}bstract {M}eaning {R}epresentation using Tree Transducers",
    author = "Flanigan, Jeffrey  and
      Dyer, Chris  and
      Smith, Noah A.  and
      Carbonell, Jaime",
    booktitle = "Proceedings of the 2016 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies",
    month = jun,
    year = "2016",
    address = "San Diego, California",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N16-1087",
    doi = "10.18653/v1/N16-1087",
    pages = "731--739",
}
@inproceedings{pourdamghani-etal-2016-generating,
    title = "Generating {E}nglish from {A}bstract {M}eaning {R}epresentations",
    author = "Pourdamghani, Nima  and
      Knight, Kevin  and
      Hermjakob, Ulf",
    booktitle = "Proceedings of the 9th International Natural Language Generation conference",
    month = sep # " 5-8",
    year = "2016",
    address = "Edinburgh, UK",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/W16-6603",
    doi = "10.18653/v1/W16-6603",
    pages = "21--25",
}
@article{guo-etal-2019-densely,
    title = "Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning",
    author = "Guo, Zhijiang  and
      Zhang, Yan  and
      Teng, Zhiyang  and
      Lu, Wei",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "7",
    month = mar,
    year = "2019",
    url = "https://aclanthology.org/Q19-1019",
    doi = "10.1162/tacl_a_00269",
    pages = "297--312",
    abstract = "We focus on graph-to-sequence learning, which can be framed as transducing graph structures to sequences for text generation. To capture structural information associated with graphs, we investigate the problem of encoding graphs using graph convolutional networks (GCNs). Unlike various existing approaches where shallow architectures were used for capturing local structural information only, we introduce a dense connection strategy, proposing a novel Densely Connected Graph Convolutional Network (DCGCN). Such a deep architecture is able to integrate both local and non-local features to learn a better structural representation of a graph. Our model outperforms the state-of-the-art neural models significantly on AMR-to-text generation and syntax-based neural machine translation.",
}
@inproceedings{zhu-etal-2019-modeling,
    title = "Modeling Graph Structure in Transformer for Better {AMR}-to-Text Generation",
    author = "Zhu, Jie  and
      Li, Junhui  and
      Zhu, Muhua  and
      Qian, Longhua  and
      Zhang, Min  and
      Zhou, Guodong",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1548",
    doi = "10.18653/v1/D19-1548",
    pages = "5459--5468",
    abstract = "Recent studies on AMR-to-text generation often formalize the task as a sequence-to-sequence (seq2seq) learning problem by converting an Abstract Meaning Representation (AMR) graph into a word sequences. Graph structures are further modeled into the seq2seq framework in order to utilize the structural information in the AMR graphs. However, previous approaches only consider the relations between directly connected concepts while ignoring the rich structure in AMR graphs. In this paper we eliminate such a strong limitation and propose a novel structure-aware self-attention approach to better model the relations between indirectly connected concepts in the state-of-the-art seq2seq model, i.e. the Transformer. In particular, a few different methods are explored to learn structural representations between two concepts. Experimental results on English AMR benchmark datasets show that our approach significantly outperforms the state-of-the-art with 29.66 and 31.82 BLEU scores on LDC2015E86 and LDC2017T10, respectively. To the best of our knowledge, these are the best results achieved so far by supervised models on the benchmarks.",
}
@article{kim2021transition,
  title={A transition-based parser for unscoped episodic logical forms},
  author={Kim, Gene Louis and Duong, Viet and Lu, Xin and Schubert, Lenhart},
  journal={arXiv preprint arXiv:2103.08759},
  year={2021}
}
@inproceedings{cai2020graph,
  title={Graph transformer for graph-to-sequence learning},
  author={Cai, Deng and Lam, Wai},
  booktitle={Proceedings of the AAAI Conference on Artificial Intelligence},
  volume={34},
  number={05},
  pages={7464--7471},
  year={2020}
}
@inproceedings{song-gildea-2019-sembleu,
    title = "{S}em{B}leu: A Robust Metric for {AMR} Parsing Evaluation",
    author = "Song, Linfeng  and
      Gildea, Daniel",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1446",
    doi = "10.18653/v1/P19-1446",
    pages = "4547--4552",
    abstract = "Evaluating AMR parsing accuracy involves comparing pairs of AMR graphs. The major evaluation metric, SMATCH (Cai and Knight, 2013), searches for one-to-one mappings between the nodes of two AMRs with a greedy hill-climbing algorithm, which leads to search errors. We propose SEMBLEU, a robust metric that extends BLEU (Papineni et al., 2002) to AMRs. It does not suffer from search errors and considers non-local correspondences in addition to local ones. SEMBLEU is fully content-driven and punishes situations where a system{'}s output does not preserve most information from the input. Preliminary experiments on both sentence and corpus levels show that SEMBLEU has slightly higher consistency with human judgments than SMATCH. Our code is available at http://github.com/ freesunshine0316/sembleu.",
}
@inproceedings{beck-etal-2018-graph,
    title = "Graph-to-Sequence Learning using Gated Graph Neural Networks",
    author = "Beck, Daniel  and
      Haffari, Gholamreza  and
      Cohn, Trevor",
    booktitle = "Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P18-1026",
    doi = "10.18653/v1/P18-1026",
    pages = "273--283",
    abstract = "Many NLP applications can be framed as a graph-to-sequence learning problem. Previous work proposing neural architectures on graph-to-sequence obtained promising results compared to grammar-based approaches but still rely on linearisation heuristics and/or standard recurrent networks to achieve the best performance. In this work propose a new model that encodes the full structural information contained in the graph. Our architecture couples the recently proposed Gated Graph Neural Networks with an input transformation that allows nodes and edges to have their own hidden representations, while tackling the parameter explosion problem present in previous work. Experimental results shows that our model outperforms strong baselines in generation from AMR graphs and syntax-based neural machine translation.",
}

@inproceedings{damonte-cohen-2019-structural,
    title = "Structural Neural Encoders for {AMR}-to-text Generation",
    author = "Damonte, Marco  and
      Cohen, Shay B.",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1366",
    doi = "10.18653/v1/N19-1366",
    pages = "3649--3658",
    abstract = "AMR-to-text generation is a problem recently introduced to the NLP community, in which the goal is to generate sentences from Abstract Meaning Representation (AMR) graphs. Sequence-to-sequence models can be used to this end by converting the AMR graphs to strings. Approaching the problem while working directly with graphs requires the use of graph-to-sequence models that encode the AMR graph into a vector representation. Such encoding has been shown to be beneficial in the past, and unlike sequential encoding, it allows us to explicitly capture reentrant structures in the AMR graphs. We investigate the extent to which reentrancies (nodes with multiple parents) have an impact on AMR-to-text generation by comparing graph encoders to tree encoders, where reentrancies are not preserved. We show that improvements in the treatment of reentrancies and long-range dependencies contribute to higher overall scores for graph encoders. Our best model achieves 24.40 BLEU on LDC2015E86, outperforming the state of the art by 1.1 points and 24.54 BLEU on LDC2017T10, outperforming the state of the art by 1.24 points.",
}

@article{guo-etal-2019-densely,
    title = "Densely Connected Graph Convolutional Networks for Graph-to-Sequence Learning",
    author = "Guo, Zhijiang  and
      Zhang, Yan  and
      Teng, Zhiyang  and
      Lu, Wei",
    journal = "Transactions of the Association for Computational Linguistics",
    volume = "7",
    month = mar,
    year = "2019",
    url = "https://aclanthology.org/Q19-1019",
    doi = "10.1162/tacl_a_00269",
    pages = "297--312",
    abstract = "We focus on graph-to-sequence learning, which can be framed as transducing graph structures to sequences for text generation. To capture structural information associated with graphs, we investigate the problem of encoding graphs using graph convolutional networks (GCNs). Unlike various existing approaches where shallow architectures were used for capturing local structural information only, we introduce a dense connection strategy, proposing a novel Densely Connected Graph Convolutional Network (DCGCN). Such a deep architecture is able to integrate both local and non-local features to learn a better structural representation of a graph. Our model outperforms the state-of-the-art neural models significantly on AMR-to-text generation and syntax-based neural machine translation.",
}

@inproceedings{cao-clark-2019-factorising,
    title = "Factorising {AMR} generation through syntax",
    author = "Cao, Kris  and
      Clark, Stephen",
    booktitle = "Proceedings of the 2019 Conference of the North {A}merican Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)",
    month = jun,
    year = "2019",
    address = "Minneapolis, Minnesota",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/N19-1223",
    doi = "10.18653/v1/N19-1223",
    pages = "2157--2163",
    abstract = "Generating from Abstract Meaning Representation (AMR) is an underspecified problem, as many syntactic decisions are not specified by the semantic graph. To explicitly account for this variation, we break down generating from AMR into two steps: first generate a syntactic structure, and then generate the surface form. We show that decomposing the generation process this way leads to state-of-the-art single model performance generating from AMR without additional unlabelled data. We also demonstrate that we can generate meaning-preserving syntactic paraphrases of the same AMR graph, as judged by humans.",
}

@inproceedings{Sinh_Minh_2019, place={Cham}, title={A Study on Self-attention Mechanism for AMRto-text Generation}, ISBN={978-3-030-23281-8}, abstractNote={Introduced by Vaswani et al., transformer
architecture, with the effective use of self-attention mechanism, has shown outstanding performance in
translating sequence of text from one language to another. In this paper, we conduct experiments using the
self-attention in converting an abstract meaning representation (AMR) graph, a semantic representation, into
a natural language sentence, also known as the task of AMR-to-text generation. On the benchmark dataset for
this task, we obtain promising results comparing to existing deep learning methods in the literature.},
booktitle={Natural Language Processing and Information Systems}, publisher={Springer International
Publishing}, author={Sinh, Vu Trong and Minh, Nguyen Le}, editor={Métais, Elisabeth and Meziane, Farid
and Vadera, Sunil and Sugumaran, Vijayan and Saraee, Mohamad}, year={2019}, pages={321–328} }

@inproceedings{ribeiro-etal-2019-enhancing,
    title = "Enhancing {AMR}-to-Text Generation with Dual Graph Representations",
    author = "Ribeiro, Leonardo F. R.  and
      Gardent, Claire  and
      Gurevych, Iryna",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1314",
    doi = "10.18653/v1/D19-1314",
    pages = "3183--3194",
    abstract = "Generating text from graph-based data, such as Abstract Meaning Representation (AMR), is a challenging task due to the inherent difficulty in how to properly encode the structure of a graph with labeled edges. To address this difficulty, we propose a novel graph-to-sequence model that encodes different but complementary perspectives of the structural information contained in the AMR graph. The model learns parallel top-down and bottom-up representations of nodes capturing contrasting views of the graph. We also investigate the use of different node message passing strategies, employing different state-of-the-art graph encoders to compute node representations based on incoming and outgoing perspectives. In our experiments, we demonstrate that the dual graph representation leads to improvements in AMR-to-text generation, achieving state-of-the-art results on two AMR datasets",
}

@article{Cai_Lam_2020, title={Graph Transformer for Graph-to-Sequence Learning}, volume={34},
DOI={10.1609/aaai.v34i05.6243}, number={05}, journal={Proceedings of the AAAI Conference on
Artificial Intelligence}, author={Cai, Deng and Lam, Wai}, year={2020}, month={Apr}, pages=
{7464–7471} }

@inproceedings{zhu-etal-2019-modeling,
    title = "Modeling Graph Structure in Transformer for Better {AMR}-to-Text Generation",
    author = "Zhu, Jie  and
      Li, Junhui  and
      Zhu, Muhua  and
      Qian, Longhua  and
      Zhang, Min  and
      Zhou, Guodong",
    booktitle = "Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)",
    month = nov,
    year = "2019",
    address = "Hong Kong, China",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/D19-1548",
    doi = "10.18653/v1/D19-1548",
    pages = "5459--5468",
    abstract = "Recent studies on AMR-to-text generation often formalize the task as a sequence-to-sequence (seq2seq) learning problem by converting an Abstract Meaning Representation (AMR) graph into a word sequences. Graph structures are further modeled into the seq2seq framework in order to utilize the structural information in the AMR graphs. However, previous approaches only consider the relations between directly connected concepts while ignoring the rich structure in AMR graphs. In this paper we eliminate such a strong limitation and propose a novel structure-aware self-attention approach to better model the relations between indirectly connected concepts in the state-of-the-art seq2seq model, i.e. the Transformer. In particular, a few different methods are explored to learn structural representations between two concepts. Experimental results on English AMR benchmark datasets show that our approach significantly outperforms the state-of-the-art with 29.66 and 31.82 BLEU scores on LDC2015E86 and LDC2017T10, respectively. To the best of our knowledge, these are the best results achieved so far by supervised models on the benchmarks.",
}
@inproceedings{zhang-etal-2019-amr,
    title = "{AMR} Parsing as Sequence-to-Graph Transduction",
    author = "Zhang, Sheng  and
      Ma, Xutai  and
      Duh, Kevin  and
      Van Durme, Benjamin",
    booktitle = "Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2019",
    address = "Florence, Italy",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P19-1009",
    doi = "10.18653/v1/P19-1009",
    pages = "80--94",
    abstract = "We propose an attention-based model that treats AMR parsing as sequence-to-graph transduction. Unlike most AMR parsers that rely on pre-trained aligners, external semantic resources, or data augmentation, our proposed parser is aligner-free, and it can be effectively trained with limited amounts of labeled AMR data. Our experimental results outperform all previously reported SMATCH scores, on both AMR 2.0 (76.3{\%} on LDC2017T10) and AMR 1.0 (70.2{\%} on LDC2014T12).",
}
@inproceedings{cai-lam-2020-amr,
    title = "{AMR} Parsing via Graph-Sequence Iterative Inference",
    author = "Cai, Deng  and
      Lam, Wai",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.acl-main.119",
    doi = "10.18653/v1/2020.acl-main.119",
    pages = "1290--1301",
    abstract = "We propose a new end-to-end model that treats AMR parsing as a series of dual decisions on the input sequence and the incrementally constructed graph. At each time step, our model performs multiple rounds of attention, reasoning, and composition that aim to answer two critical questions: (1) which part of the input \textit{sequence} to abstract; and (2) where in the output \textit{graph} to construct the new concept. We show that the answers to these two questions are mutually causalities. We design a model based on iterative inference that helps achieve better answers in both perspectives, leading to greatly improved parsing accuracy. Our experimental results significantly outperform all previously reported Smatch scores by large margins. Remarkably, without the help of any large-scale pre-trained language model (e.g., BERT), our model already surpasses previous state-of-the-art using BERT. With the help of BERT, we can push the state-of-the-art results to 80.2{\%} on LDC2017T10 (AMR 2.0) and 75.4{\%} on LDC2014T12 (AMR 1.0).",
}
@inproceedings{kasper-1989-flexible,
    title = "A Flexible Interface for Linking Applications to {P}enman{'}s Sentence Generator",
    author = "Kasper, Robert T.",
    booktitle = "Speech and Natural Language: Proceedings of a Workshop Held at Philadelphia, {P}ennsylvania, {F}ebruary 21-23, 1989",
    year = "1989",
    url = "https://aclanthology.org/H89-1022",
}
@inproceedings{NEURIPS2020_1457c0d6,
 author = {Brown, Tom and Mann, Benjamin and Ryder, Nick and Subbiah, Melanie and Kaplan, Jared D and Dhariwal, Prafulla and Neelakantan, Arvind and Shyam, Pranav and Sastry, Girish and Askell, Amanda and Agarwal, Sandhini and Herbert-Voss, Ariel and Krueger, Gretchen and Henighan, Tom and Child, Rewon and Ramesh, Aditya and Ziegler, Daniel and Wu, Jeffrey and Winter, Clemens and Hesse, Chris and Chen, Mark and Sigler, Eric and Litwin, Mateusz and Gray, Scott and Chess, Benjamin and Clark, Jack and Berner, Christopher and McCandlish, Sam and Radford, Alec and Sutskever, Ilya and Amodei, Dario},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin},
 pages = {1877--1901},
 publisher = {Curran Associates, Inc.},
 title = {Language Models are Few-Shot Learners},
 url = {https://proceedings.neurips.cc/paper/2020/file/1457c0d6bfcb4967418bfb8ac142f64a-Paper.pdf},
 volume = {33},
 year = {2020}
}

@inproceedings{path_lm_schemas,
    title = "Connecting the Dots: Event Graph Schema Induction with Path Language Modeling",
    author = "Li, Manling  and
      Zeng, Qi  and
      Lin, Ying  and
      Cho, Kyunghyun  and
      Ji, Heng  and
      May, Jonathan  and
      Chambers, Nathanael  and
      Voss, Clare",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.50",
    doi = "10.18653/v1/2020.emnlp-main.50",
    pages = "684--695",
    abstract = "Event schemas can guide our understanding and ability to make predictions with respect to what might happen next. We propose a new Event Graph Schema, where two event types are connected through multiple paths involving entities that fill important roles in a coherent story. We then introduce Path Language Model, an auto-regressive language model trained on event-event paths, and select salient and coherent paths to probabilistically construct these graph schemas. We design two evaluation metrics, instance coverage and instance coherence, to evaluate the quality of graph schema induction, by checking when coherent event instances are covered by the schema graph. Intrinsic evaluations show that our approach is highly effective at inducing salient and coherent schemas. Extrinsic evaluations show the induced schema repository provides significant improvement to downstream end-to-end Information Extraction over a state-of-the-art joint neural extraction model, when used as additional global features to unfold instance graphs.",
}

@inproceedings{weber_causal_scripts,
    title = "Causal Inference of Script Knowledge",
    author = "Weber, Noah  and
      Rudinger, Rachel  and
      Van Durme, Benjamin",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)",
    month = nov,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2020.emnlp-main.612",
    doi = "10.18653/v1/2020.emnlp-main.612",
    pages = "7583--7596",
    abstract = "When does a sequence of events define an everyday scenario and how can this knowledge be induced from text? Prior works in inducing such scripts have relied on, in one form or another, measures of correlation between instances of events in a corpus. We argue from both a conceptual and practical sense that a purely correlation-based approach is insufficient, and instead propose an approach to script induction based on the causal effect between events, formally defined via interventions. Through both human and automatic evaluations, we show that the output of our method based on causal effects better matches the intuition of what a script represents.",
}

@inproceedings{norvig1987inference,
  title={Inference in text understanding.},
  author={Norvig, Peter},
  booktitle={AAAI},
  pages={561--565},
  year={1987}
}

@inproceedings{lome,
    title = "{LOME}: Large Ontology Multilingual Extraction",
    author = "Xia, Patrick  and
      Qin, Guanghui  and
      Vashishtha, Siddharth  and
      Chen, Yunmo  and
      Chen, Tongfei  and
      May, Chandler  and
      Harman, Craig  and
      Rawlins, Kyle  and
      White, Aaron Steven  and
      Van Durme, Benjamin",
    booktitle = "Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations",
    month = apr,
    year = "2021",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/2021.eacl-demos.19",
    doi = "10.18653/v1/2021.eacl-demos.19",
    pages = "149--159",
    abstract = "We present LOME, a system for performing multilingual information extraction. Given a text document as input, our core system identifies spans of textual entity and event mentions with a FrameNet (Baker et al., 1998) parser. It subsequently performs coreference resolution, fine-grained entity typing, and temporal relation prediction between events. By doing so, the system constructs an event and entity focused knowledge graph. We can further apply third-party modules for other types of annotation, like relation extraction. Our (multilingual) first-party modules either outperform or are competitive with the (monolingual) state-of-the-art. We achieve this through the use of multilingual encoders like XLM-R (Conneau et al., 2020) and leveraging multilingual training data. LOME is available as a Docker container on Docker Hub. In addition, a lightweight version of the system is accessible as a web demo.",
}

@unpublished{spacy2,
    AUTHOR = {Honnibal, Matthew and Montani, Ines},
    TITLE  = {{spaCy 2}: Natural language understanding with {B}loom embeddings, convolutional neural networks and incremental parsing},
    YEAR   = {2017},
    Note   = {To appear}
}

@inproceedings{Lawley2021LearningGE,
  title={Learning General Event Schemas with Episodic Logic},
  author={Lane Lawley and Benjamin Kuehnert and Lenhart K. Schubert},
  booktitle={NALOMA},
  year={2021}
}

@misc{gpt-j,
  author = {Wang, Ben and Komatsuzaki, Aran},
  title = {{GPT-J-6B: A 6 Billion Parameter Autoregressive Language Model}},
  howpublished = {\url{https://github.com/kingoflolz/mesh-transformer-jax}},
  year = 2021,
  month = May
}

@inproceedings{wolf-etal-2020-transformers,
    title = "Transformers: State-of-the-Art Natural Language Processing",
    author = "Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and Rémi Louf and Morgan Funtowicz and Joe Davison and Sam Shleifer and Patrick von Platen and Clara Ma and Yacine Jernite and Julien Plu and Canwen Xu and Teven Le Scao and Sylvain Gugger and Mariama Drame and Quentin Lhoest and Alexander M. Rush",
    booktitle = "Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
    month = oct,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://www.aclweb.org/anthology/2020.emnlp-demos.6",
    pages = "38--45"
}