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Multi-grained Chinese Word Segmentation with Weakly Labeled Data.

, , , and . COLING, page 2026-2036. International Committee on Computational Linguistics, (2020)

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Capturing Conversational Interaction for Question Answering via Global History Reasoning., , , , , and . NAACL-HLT (Findings), page 2071-2078. Association for Computational Linguistics, (2022)Multi-grained Chinese Word Segmentation with Weakly Labeled Data., , , and . COLING, page 2026-2036. International Committee on Computational Linguistics, (2020)Coreference-aware Double-channel Attention Network for Multi-party Dialogue Reading Comprehension., , , , and . IJCNN, page 1-8. IEEE, (2023)Winnowing Knowledge for Multi-choice Question Answering., , , , , and . EMNLP (Findings), page 1157-1165. Association for Computational Linguistics, (2021)Tree Kernel-based Negation and Speculation Scope Detection with Structured Syntactic Parse Features., , and . EMNLP, page 968-976. ACL, (2013)Negation and Speculation Identification in Chinese Language., , and . ACL (1), page 656-665. The Association for Computer Linguistics, (2015)Negation Focus Identification with Contextual Discourse Information., , and . ACL (1), page 522-530. The Association for Computer Linguistics, (2014)CoHS-CQG: Context and History Selection for Conversational Question Generation., , , , , and . CoRR, (2022)A Deep Learning Platform for Language Education Research and Development., , , , and . INTERSPEECH, page 3949-3950. ISCA, (2022)Making Pre-trained Language Models Better Learn Few-Shot Spoken Language Understanding in More Practical Scenarios., , , , , and . ACL (Findings), page 13508-13523. Association for Computational Linguistics, (2023)