Why Does Surprisal From Larger Transformer-Based Language Models Provide a Poorer Fit to Human Reading Times?
Comments Transactions of the Association for Computational Linguistics (pre-MIT Press publication version)
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Comments Transactions of the Association for Computational Linguistics (pre-MIT Press publication version)
Comments Accepted by ACL 2022 (Oral)
Comments 13pages; v1: accepted at ACL-IJCNLP 2021 Student Research Workshop; v2: minor revision
Comments accepted by ACL 2022
Comments accepted by ACL 2019
Comments 5 pages
Journal ref Proceedings of the Massively Multilingual Natural Language Understanding Workshop (MMNLU-22), pages 83 - 87 December 7, 2022, copyright 2022 Association for Computational Linguistics
Comments Accepted to ACL 2021, 12 pages. Our newest code is publicly available at https://github.com/modelscope/AdaSeq/tree/master/examples/RaNER
Comments Published in the ACL anthology, ALTA 2022
Comments Accepted by ACL 2022 (Main Conference)
Comments Accepted as a long paper to ACL 2020
Comments 9 pages (+ 21 pages of Appendix), AACL 2022
Journal ref Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (AACL-IJCNLP 2022), pages 895-924
Comments Previously accepted by Findings of ACL 2022 and Findings of EMNLP 2022
Comments To appear at ACL 2022 Findings
Comments accepted to ACL 2022
Comments The First Workshop on Learning with Natural Language Supervision at ACL 2022
Comments ACL 2022. https://aclanthology.org/2022.acl-long.157
Comments NLP Power! Workshop, ACL 2022
Comments Findings of the ACL: AACL-IJCNLP, 2022
Comments ACL 2022 (Findings)
Comments 9 pages, long paper at ACL 2022 proceedings. LexGLUE benchmark is available at: https://huggingface.co/datasets/lex_glue. Code is available at: https://github.com/coastalcph/lex-glue. Update TFIDF-SVM scores in the last version
Comments Accepted to Findings of the Association for Computational Linguistics: EMNLP 2022
Comments ACL 2021
Comments Accepted by ACL 2021
Comments Accepted by ACL 2022
Comments Accepted by ACL 2021
Comments 10 pages, 4 figures; To be published in the Findings of the Association for Computational Linguistics: EMNLP 2022
Comments 13 pages, 1 figures, 9 tables
Journal ref ACL 2022
Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2022. Pre-MIT Press publication version
Comments ACL 2022 Main Conference (Long Paper)
Journal ref AACL-IJCNLP 2022 The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing