What Context Features Can Transformer Language Models Use?
Name
2021.acl-long.70.pdf
Description
Published version
Size
1.3 MB
Format
Adobe PDF
Checksum (MD5)
9c1014f70d5616f710b71ae37f834b45
Author(s)
O’Connor, Joe
Andreas, Jacob
Date Issued
2021
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)
Publisher
Association for Computational Linguistics
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).
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.18653/V1/2021.ACL-LONG.70
