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Is It Really Useful to Jointly Parse Constituency and Dependency Trees? A Revisit.

, , , , и . CoRR, (2023)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

Другие публикации лиц с тем же именем

Joint Optimization for Chinese POS Tagging and Dependency Parsing., , , , и . IEEE ACM Trans. Audio Speech Lang. Process., 22 (1): 274-286 (2014)A Unified Span-Based Approach for Opinion Mining with Syntactic Constituents., , , , , , , и . NAACL-HLT, стр. 1795-1804. Association for Computational Linguistics, (2021)Syntax-Enhanced Neural Machine Translation with Syntax-Aware Word Representations., , , и . NAACL-HLT (1), стр. 1151-1161. Association for Computational Linguistics, (2019)CopyNE: Better Contextual ASR by Copying Named Entities., , , , , и . CoRR, (2023)Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments., , , , , , и . CoRR, (2021)Mining Error Templates for Grammatical Error Correction., , , , , и . CoRR, (2022)Soft Cross-lingual Syntax Projection for Dependency Parsing., , и . COLING, стр. 783-793. ACL, (2014)Joint Models for Chinese POS Tagging and Dependency Parsing., , , , , и . EMNLP, стр. 1180-1191. ACL, (2011)Faster and Better Grammar-Based Text-to-SQL Parsing via Clause-Level Parallel Decoding and Alignment Loss., , , и . NLPCC (2), том 13552 из Lecture Notes in Computer Science, стр. 3-15. Springer, (2022)Word Segmentation on Micro-Blog Texts with External Lexicon and Heterogeneous Data., , , и . NLPCC/ICCPOL, том 10102 из Lecture Notes in Computer Science, стр. 711-721. Springer, (2016)