What Context Features Can Transformer Language Models Use?
| Main Authors: | , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computational Linguistics
2022
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| Online Access: | https://hdl.handle.net/1721.1/142876 |
| _version_ | 1811086908289187840 |
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| author | O’Connor, Joe Andreas, Jacob |
| author2 | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science |
| author_facet | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science O’Connor, Joe Andreas, Jacob |
| author_sort | O’Connor, Joe |
| collection | MIT |
| first_indexed | 2024-09-23T13:36:46Z |
| format | Article |
| id | mit-1721.1/142876 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T13:36:46Z |
| publishDate | 2022 |
| publisher | Association for Computational Linguistics |
| record_format | dspace |
| spelling | mit-1721.1/1428762023-02-13T20:40:17Z What Context Features Can Transformer Language Models Use? O’Connor, Joe Andreas, Jacob Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory 2022-06-02T19:33:47Z 2022-06-02T19:33:47Z 2021 2022-06-02T19:29:50Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/142876 O’Connor, Joe and Andreas, Jacob. 2021. "What Context Features Can Transformer Language Models Use?." Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers). en 10.18653/V1/2021.ACL-LONG.70 Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) Creative Commons Attribution 4.0 International License https://creativecommons.org/licenses/by/4.0 application/pdf Association for Computational Linguistics Association for Computational Linguistics |
| spellingShingle | O’Connor, Joe Andreas, Jacob What Context Features Can Transformer Language Models Use? |
| title | What Context Features Can Transformer Language Models Use? |
| title_full | What Context Features Can Transformer Language Models Use? |
| title_fullStr | What Context Features Can Transformer Language Models Use? |
| title_full_unstemmed | What Context Features Can Transformer Language Models Use? |
| title_short | What Context Features Can Transformer Language Models Use? |
| title_sort | what context features can transformer language models use |
| url | https://hdl.handle.net/1721.1/142876 |
| work_keys_str_mv | AT oconnorjoe whatcontextfeaturescantransformerlanguagemodelsuse AT andreasjacob whatcontextfeaturescantransformerlanguagemodelsuse |