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@@ -7,16 +7,31 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
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## [Unreleased]
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## [0.2.2] - 2026-02-06
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### Added
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-**PyPI publish workflow** triggered on tag creation using trusted publishers (OIDC)
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-**Converter-to-loader round-trip integration tests** for all four resources
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-**FrameNet frame relation, LU enrichment, semantic type, and fulltext parsing** in converter and loader
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-**Supplementary data conversion** for WordNet senses/exceptions and FrameNet semantic types/fulltext in `initialize.py`
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### Changed
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-**Rewrote WordNet converter and loader** to use enriched single-file JSONL output with supplementary sense and exception files
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-**Relaxed lemma validation** to allow uppercase letters, digits at the start, and dots (supporting proper nouns, abbreviations, and numeric prefixes)
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-**Moved repository** from `aaronstevenwhite/glazing` to `factslab/glazing`
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### Fixed
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-**VerbNet converter** now populates `framenet_mappings` and `propbank_mappings` from member attributes
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-**PropBank converter** now handles AMR-UMR-91 roleset conversion and XML edge cases
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## [0.2.1] - 2025-10-28
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### Fixed
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-**FrameNet lexical units now properly loaded during conversion**
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- Lexical units are now parsed from `luIndex.xml` during frame conversion
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- All frames now include their associated lexical units with complete metadata
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- Fixes critical data completeness issue where `frame.lexical_units` was always empty
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- Enables querying frames by lexical unit name via the frame index
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- Approximately 13,500 lexical units now correctly associated with their frames
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-**FrameNet converter** now properly loads lexical units from `luIndex.xml` during frame conversion, fixing a critical issue where `frame.lexical_units` was always empty (~13,500 LUs now correctly associated)
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## [0.2.0] - 2025-09-30
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This project was funded by a [National Science Foundation](https://www.nsf.gov/) ([BCS-2040831](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040831)) and builds upon the foundational work of the FrameNet, PropBank, VerbNet, and WordNet teams.
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This project was funded by a [National Science Foundation](https://www.nsf.gov/) ([BCS-2040831](https://www.nsf.gov/awardsearch/showAward?AWD_ID=2040831)) and builds upon the foundational work of the FrameNet, PropBank, VerbNet, and WordNet teams. It was architected and implemented with the help of Claude Code.
White, A. S. (2025). *Glazing: Unified Data Models and Interfaces for Syntactic and Semantic Frame Ontologies* (Version 0.2.1) [Computer software]. https://github.com/aaronstevenwhite/glazing
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White, A. S. (2025). *Glazing: Unified Data Models and Interfaces for Syntactic and Semantic Frame Ontologies* (Version 0.2.2) [Computer software]. https://github.com/factslab/glazing
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### Chicago
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White, Aaron Steven. 2025. *Glazing: Unified Data Models and Interfaces for Syntactic and Semantic Frame Ontologies*. Version 0.2.1. https://github.com/aaronstevenwhite/glazing.
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White, Aaron Steven. 2025. *Glazing: Unified Data Models and Interfaces for Syntactic and Semantic Frame Ontologies*. Version 0.2.2. https://github.com/factslab/glazing.
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### MLA
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White, Aaron Steven. *Glazing: Unified Data Models and Interfaces for Syntactic and Semantic Frame Ontologies*. Version 0.2.1, 2025, https://github.com/aaronstevenwhite/glazing.
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White, Aaron Steven. *Glazing: Unified Data Models and Interfaces for Syntactic and Semantic Frame Ontologies*. Version 0.2.2, 2025, https://github.com/factslab/glazing.
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## Citing Datasets
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@@ -65,4 +65,4 @@ This project was funded by a [National Science Foundation](https://www.nsf.gov/)
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