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Syntactic Debiasing of Contextualized Language Representations from Imprint of Passivization and Negation

Controlling the Imprint of Passivization and Negation in Contextualized Representations [bib]

Hande Celikkanat, Sami Virpioja, Jorg Tiedemann, and Marianna Apidianaki

How-To

Running the code:

## Extracting representations:
python main.py --dataset RNN-priming-short-5000 --dataset_path ../data/RNN-Priming-short/ --save_reprs_path ../representations/ --task active-passive --focus subject --extract_only --debug

## Saving splits:
python main.py --dataset RNN-priming-short-5000 --load_reprs_path ../representations/ --task active-passive --focus subject --layer 12 --save_splits --different_split_exp_count 20

## Obtaining word-sense graphs:
python main.py --dataset SICK --load_reprs_path ../representations/ --task active-passive --focus verb --debias Goldberg --lexical_split --test_on SICK --train_on SICK --vector_fun --exp_count 20 --layer 12

## Plotting MDS:
python main.py --dataset SICK --load_reprs_path ../representations/ --task active-passive --focus verb --debias Goldberg --lexical_split --test_on SICK --train_on SICK --exp_count 1 --layer 12 --plot_mds

## Plotting distances:
python main.py --dataset RNN-priming-short-1000 --load_reprs_path ../representations/ --task active-passive --focus object --debias Goldberg --lexical_split --test_on RNN-priming-short-1000 --train_on RNN-priming-short-1000 --exp_count 1 --vector_fun --plot_vectors --debug

Organization of data folders:

  • SICK data: Under /path/to/project/data/SICK/Filtered/

    • Active sentences: /path/to/project/data/SICK/Filtered/SICK.active.pos.parse.conll
    • Passive sentences: /path/to/project/data/SICK/Filtered/SICK.passive.pos.parse.conll

  • Manually tense-corrected SICK data: Under /path/to/project/data/SICK_tensecorr

    • Active sentences: /path/to/project/data/SICK_tensecorr/SICK_tensecorr.active.pos.parse.conll
    • Passive sentences: /path/to/project/data/SICK_tensecorr/SICK_tensecorr.passive.pos.parse.conll

  • RNN-Priming data: Under /path/to/project/data/RNN-Priming/combined

    • Active sentences: Under /path/to/project/data/RNN-Priming/combined/RNN.active.pos.parse.conll
    • Passive sentences: Under /path/to/project/data/RNN-Priming/combined/RNN.passive.pos.parse.conll

Citation

@inproceedings{ynie2020chaosnli,
	Author = {Hande \c{C}elikkanat, Sami Virpioja, J\"{o}rg Tiedemann, and Marianna Apidianaki},
	Booktitle = {Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP},
	Title = {Controlling the Imprint of Passivization and Negation in Contextualized Representations},
	Year = {2020}
}