Ditch the Gold Standard: Re-evaluating Conversational Question Answering
Comments Accepted to ACL 2022; The dataset and code are available at https://github.com/princeton-nlp/EvalConvQA/
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Comments Accepted to ACL 2022; The dataset and code are available at https://github.com/princeton-nlp/EvalConvQA/
Comments 14pages, ACL'2022
Comments Proceedings of the Annual Meeting of the Association for Computational Linguistics (ACL), 2022
Comments Accept to ACL 2022 main conference. 15 pages, 6 figures
Comments Accepted to ACL 2022 (long paper)
Comments ACL 2022 camera-ready
Comments ACL2020
Journal ref In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020, pages 995-1005
Comments ACL 2022
Comments To appear at ACL 2022; 9 pages
Comments To appear in the Findings of ACL 2022
Comments to appear at the ACL 2022 Main conference
Comments ACL 2022 camera ready
Comments ACL 2022
Comments ACL 2022 (Findings)
Comments ACL 2022
Comments Accepted to Findings of the Association for Computational Linguistics, 2022
Comments accepted to the Findings of ACL 2022
Comments 9 pages, 6 figures; To be published in ACL 2022
Comments Accepted to ACL 2022, camera ready version
Comments Accepted by Findings of ACL 2022
Comments ACL 2022 main conference
Comments Accepted at ACL 2022
Comments Accepted to the 60th Annual Meeting of the Association for Computational Linguistics (ACL'22), Findings
Comments Association for Computational Linguistics (ACL) 2022 camera-ready
Comments ACL 2022 Main Conference
Comments Accept to Findings of ACL 2022
Comments ACL 2022 main conference
Comments Accepted at ACL 2022
Comments Accepted in ACL 2022
Comments Accepted to ACL 2022 Main Conference