HLE-UPC at SemEval-2021 Task 5: Multi-Depth DistilBERT for Toxic Spans Detection
Comments 7 pages, SemEval-2021 Workshop, ACL-IJCNLP 2021
Journal ref In Proceedings of ACL-IJCNLP 2021
期刊&会议
Annual Meeting of the Association for Computational Linguistics · 会议 · Natural Language Processing
Comments 7 pages, SemEval-2021 Workshop, ACL-IJCNLP 2021
Journal ref In Proceedings of ACL-IJCNLP 2021
Comments Findings of ACL 2021 Camera Ready
Journal ref Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
Comments Accepted for publication in Transactions of the Association for Computational Linguistics (TACL), 2021. Author's final version. Oral presentation at ACL'21
Comments Accepted at Findings of EMNLP 2020 (camera-ready)
Journal ref Findings of the Association for Computational Linguistics: EMNLP 2020
Comments ACL 2021 (15 pages)
Journal ref ACL 2021 (1299-1311)
Comments Accepted to ACL 2021
Comments 5 pages, 1 figures. Will be presented at ACL SRW 2021
Comments ACL 2021. The code and models are released at https://github.com/huawei-noah/Pretrained-Language-Model/tree/master/AutoTinyBERT
Comments 7 pages, 3 figures, 1 table
Journal ref Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021, pages 876-882
Comments To be published in ACL-IJCNLP 2021 workshop ECNLP
Journal ref https://aclanthology.org/2021.ecnlp-1.7/
Comments 7 pages, 3 figures. Accepted at SemEval-2021 Workshop, ACL-IJCNLP 2021
Comments Accepted by ACL-IJCNLP 2021 main conference (long paper)
Comments 10 pages, 4 figures, accepted by Findings of ACL-IJCNLP 2021
Comments Accepted to ACL 2021 (long paper)
Comments The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
Comments ACL 2021, long paper, main conference
Comments To appear at TACL and to be presented at ACL 2021. Authors' final version
Comments Accepted by ACL 2021 main conference
Comments ACL2021 long paper oral presentation
Comments Accepted by ACL-IJCNLP 2021
Comments MIT Press\TACL 2021\Presented at ACL 2021 This is the exact same content of the TACL version, except the figures and tables are better aligned
Journal ref journal={Transactions of the Association for Computational Linguistics}, volume={9}, pages={586--604}, year={2021},
Comments Accepted to ACL 2021 System Demonstrations
Comments 9+7 pages, 4+4 figures. Findings of ACL 2021 (long paper)
Comments Accepted as a long paper at ACL 2021. Code and data are available at https://github.com/XL2248/CPCC
Comments Accepted by ACL-IJCNLP 2021
Comments Accepted paper at the 59th Annual Meeting of the Association for Computational Linguistics (ACL 2021 Findings)
Comments ACL2021
Comments ACL 2021 Best Theme Paper
Comments 9 pages, ACL21 Findings