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NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning.

, , , , , and . CCKS, volume 1466 of Communications in Computer and Information Science, page 157-170. Springer, (2021)

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NSRL: Named Entity Recognition with Noisy Labels via Selective Review Learning., , , , , and . CCKS, volume 1466 of Communications in Computer and Information Science, page 157-170. Springer, (2021)Named Entity Recognition via Noise Aware Training Mechanism with Data Filter., , , , , and . ACL/IJCNLP (Findings), volume ACL/IJCNLP 2021 of Findings of ACL, page 4791-4803. Association for Computational Linguistics, (2021)Document-Level Relation Extraction via Pair-Aware and Entity-Enhanced Representation Learning., , , , , , and . COLING, page 2418-2428. International Committee on Computational Linguistics, (2022)PSG: Prompt-based Sequence Generation for Acronym Extraction., , , , , and . SDU@AAAI, volume 3164 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)SimCLAD: A Simple Framework for Contrastive Learning of Acronym Disambiguation., , , , and . SDU@AAAI, volume 3164 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)ADBCMM : Acronym Disambiguation by Building Counterfactuals and Multilingual Mixing., , , , and . SDU@AAAI, volume 3164 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)A Novel Initial Reminder Framework for Acronym Extraction., , , and . SDU@AAAI, volume 3164 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)ANACONDA: Adversarial training with iNtrust loss in ACrONym DisambiguAtion., , , , and . SDU@AAAI, volume 3164 of CEUR Workshop Proceedings, CEUR-WS.org, (2022)