| dc.contributor.author | O’Connor, Joe | |
| dc.contributor.author | Andreas, Jacob | |
| dc.date.accessioned | 2022-06-02T19:33:47Z | |
| dc.date.available | 2022-06-02T19:33:47Z | |
| dc.date.issued | 2021 | |
| dc.identifier.uri | https://hdl.handle.net/1721.1/142876 | |
| dc.language.iso | en | |
| dc.publisher | Association for Computational Linguistics | en_US |
| dc.relation.isversionof | 10.18653/V1/2021.ACL-LONG.70 | en_US |
| dc.rights | Creative Commons Attribution 4.0 International License | en_US |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0 | en_US |
| dc.source | Association for Computational Linguistics | en_US |
| dc.title | What Context Features Can Transformer Language Models Use? | en_US |
| dc.type | Article | en_US |
| dc.identifier.citation | 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). | |
| dc.contributor.department | Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science | |
| dc.contributor.department | Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory | |
| dc.relation.journal | 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_US |
| dc.eprint.version | Final published version | en_US |
| dc.type.uri | http://purl.org/eprint/type/JournalArticle | en_US |
| eprint.status | http://purl.org/eprint/status/PeerReviewed | en_US |
| dc.date.updated | 2022-06-02T19:29:50Z | |
| dspace.orderedauthors | O’Connor, J; Andreas, J | en_US |
| dspace.date.submission | 2022-06-02T19:29:51Z | |
| mit.license | PUBLISHER_CC | |
| mit.metadata.status | Authority Work and Publication Information Needed | en_US |
