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Comparative Investigation of Deep Learning Components for End-to-end Implicit Discourse Relationship Parser.

, , and . CCL, volume 11856 of Lecture Notes in Computer Science, page 143-155. Springer, (2019)

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Inference on Syntactic and Semantic Structures for Machine Comprehension., , and . AAAI, page 5844-5851. AAAI Press, (2018)ENPAR: Enhancing Entity and Entity Pair Representations for Joint Entity Relation Extraction., , , , , and . EACL, page 2877-2887. Association for Computational Linguistics, (2021)From Alignment to Assignment: Frustratingly Simple Unsupervised Entity Alignment., , , and . EMNLP (1), page 2843-2853. Association for Computational Linguistics, (2021)A Fast and Lightweight System for Multilingual Dependency Parsing., , and . CoNLL Shared Task (2), page 237-242. Association for Computational Linguistics, (2017)A Learning Error Analysis for Structured Prediction with Approximate Inference., , , , and . NIPS, page 6129-6139. (2017)An Online Learning Algorithm for Bilinear Models., and . ICML, volume 37 of JMLR Workshop and Conference Proceedings, page 890-898. JMLR.org, (2015)ECNU at SemEval-2018 Task 1: Emotion Intensity Prediction Using Effective Features and Machine Learning Models., , and . SemEval@NAACL-HLT, page 231-235. Association for Computational Linguistics, (2018)ECNU at SemEval-2018 Task 11: Using Deep Learning Method to Address Machine Comprehension Task., , and . SemEval@NAACL-HLT, page 1048-1052. Association for Computational Linguistics, (2018)ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection., , and . SemEval@NAACL-HLT, page 999-1002. Association for Computational Linguistics, (2018)ECNU at SemEval-2017 Task 3: Using Traditional and Deep Learning Methods to Address Community Question Answering Task., , , and . SemEval@ACL, page 365-369. Association for Computational Linguistics, (2017)