GPT-too: A language-model-first approach for AMR-to-text generation
Comments Paper accepted to the Annual Meeting of the Association for Computational Linguistics (ACL 2020)
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Comments Paper accepted to the Annual Meeting of the Association for Computational Linguistics (ACL 2020)
Comments ACL 2019
Comments 9+1 pages + 8 pages supplementary, published in EMNLP 2016. v2: fix references. v3: include missing supplementary, update with code repository
Journal ref In Proc. of EMNLP, pages 75-84, Stroudsburg, PA, USA. Association for Computational Linguistics (2016)
Comments ACL 2020
Comments To be published in SocialNLP@ACL 2020
Comments Accepted to Neural Generation and Translation Workshop (WNGT) at ACL 2020
Comments To be published in ACL 2020 conference proceedings. Updated dataset statistics, results unchanged
Comments 12 pages, ACL2020
Comments Accepted at SocialNLP Workshop @ACL 2020
Comments 13 pages, 3 figures, Accepted to ACL 2020
Comments 11 pages, 5 figures (including appendix); to appear at ACL SRW 2020
Comments Published as a conference paper at ACL 2020
Comments To be published in ACL FigLang2020
Comments To appear at ACL 2020
Comments To appear in the Proceedings of the Association for Computational Linguistics (ACL 2020)
Comments Accepted to the ACL Workshop on Biomedical Natural Language Processing, BioNLP 2020
Comments Accepted as a long paper at ACL 2020
Comments Accepted for publication at ACL 2020. This is the camera ready version. Code available in https://github.com/rycolab/info-theoretic-probing
Comments Accepted to WNGT Workshop at ACL 2020
Comments Accepted at ECNLP 3 (ACL 2020)
Comments Accepted at ACL 2020
Comments Accepted to SIGMORPHON Workshop at ACL 2020
Comments Accepted by ACL 2020
Comments Accepted at ACL 2020
Comments demo paper accepted at ACL 2020
Comments To be presented at FEVER workshop at ACL 2020
Comments Accepted by ACL 2020
Comments Accepted for presentation at ACL 2020
Comments Accepted at ACL 2020
Comments Published at ACL RepL4NLP 2020