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Learning Bill Similarity with Annotated and Augmented Corpora of Bills

Author(s)
Kim, Jiseon; Griggs, Elden; Kim, In Song; Oh, Alice
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2021.emnlp-main.787.Software.zip (688bytes)
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Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/
Metadata
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Date issued
2021
URI
https://hdl.handle.net/1721.1/148669
Department
Massachusetts Institute of Technology. Department of Political Science
Journal
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
Publisher
Association for Computational Linguistics (ACL)
Citation
Kim, Jiseon, Griggs, Elden, Kim, In Song and Oh, Alice. 2021. "Learning Bill Similarity with Annotated and Augmented Corpora of Bills." Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing.
Version: Final published version

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