Compression, Transduction, and Creation: A Unified Framework for Evaluating Natural Language Generation
Comments EMNLP 2021, Code available at https://github.com/tanyuqian/ctc-gen-eval
期刊&会议
Conference on Empirical Methods in Natural Language Processing · 会议 · Natural Language Processing
Comments EMNLP 2021, Code available at https://github.com/tanyuqian/ctc-gen-eval
Comments Accepted at EMNLP 2021. Code available at https://github.com/wzhouad/Contra-OOD
Comments Accepted at EMNLP 2021. Code available at https://github.com/wzhouad/NLL-IE
Comments EMNLP 2021 (Oral). Code and data: https://github.com/yilinyang7/fairseq_multi_fix
Comments This manuscript will be available in ACL Anthology section EMNLP2021-Findings papers
Journal ref Findings of the Association for Computational Linguistics: EMNLP 2021
Comments Accepted to Empirical Methods in Natural Language Processing (EMNLP) 2021
Comments This update adds some relevant references to past and concurrent work
Journal ref 2021.emnlp-main.514 (2021) 6372-6386
Comments In Proceedings of EMNLP 2021. 19 pages, 16 figures, 9 tables. Code available at https://github.com/parasj/contracode
Comments Findings of EMNLP 2021
Comments EMNLP 2021. This version fixes an error in Proposition 1 and adds discussion (the EMNLP camera ready version is unfixed) (and v3 adds the acknowledgements that we forgot to put into v2)
Comments EMNLP 2020
Comments EMNLP 2018
Comments 15 pages; 9 Tables; 5 Figures
Journal ref Findings of the Association for Computational Linguistics: EMNLP 2020
Comments Accepted for publication at EMNLP 2021, 11 pages, 5 tables, 4 figures
Journal ref EMNLP 2021
Comments Findings of EMNLP 2020
Comments EMNLP 2021 Findings (12 pages)
Comments Findings of EMNLP version
Journal ref Findings of the Association for Computational Linguistics: EMNLP 2021, pages 4099-4105
Comments EMNLP 2021
Comments 11 pages
Journal ref Savelka, Jaromir, and Kevin D. Ashley. "Discovering Explanatory Sentences in Legal Case Decisions Using Pre-trained Language Models." In Findings of the Association for Computational Linguistics: EMNLP 2021, pp. 4273-4283. 2021
Comments 9 pages, 4 figures
Journal ref Findings of the Association for Computational Linguistics: EMNLP (2020) 1784-1795
Comments EMNLP 2021 + additional appendix
Comments Accepted at Workshop on NLP for Conversational AI (NLP4ConvAI) at EMNLP 2021
Comments EMNLP 2021
Comments This is a Post-EMNLP Version that contains results on the new hidden test set. D.Raghu and S.Agarwal contributed equally to this work
Comments In EMNLP 2021
Comments Accepted by EMNLP-21
Comments Accepted by EMNLP 2021
Comments Published in EMNLP 2021
Comments EMNLP 2017
Journal ref EMNLP 2017, 440-445