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ECNU at SemEval-2017 Task 1: Leverage Kernel-based Traditional NLP features and Neural Networks to Build a Universal Model for Multilingual and Cross-lingual Semantic Textual Similarity.

, , , and . SemEval@ACL, page 191-197. Association for Computational Linguistics, (2017)

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A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs., , , , , and . COLING, page 2075-2086. International Committee on Computational Linguistics, (2022)Extracting Entities and Relations with Joint Minimum Risk Training., , , , , , and . EMNLP, page 2256-2265. Association for Computational Linguistics, (2018)The Integration of Multiple Feature Representations for Protein Protein Interaction Classification Task., and . LBM (Short Papers), volume 319 of CEUR Workshop Proceedings, CEUR-WS.org, (2007)LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation., , , and . EMNLP, page 825-838. Association for Computational Linguistics, (2022)A Multi-Task Dataset for Assessing Discourse Coherence in Chinese Essays: Structure, Theme, and Logic Analysis., , , , , and . EMNLP, page 6673-6688. Association for Computational Linguistics, (2023)Self-supervised BGP-graph reasoning enhanced complex KBQA via SPARQL generation., , , , , , , , , and . Inf. Process. Manag., 61 (5): 103802 (2024)Leveraging Synthetic Discourse Data via Multi-task Learning for Implicit Discourse Relation Recognition., , and . ACL (1), page 476-485. The Association for Computer Linguistics, (2013)Measuring short Text Semantic Similarity using multiple measurements., and . ICMLC, page 808-813. IEEE, (2013)A comprehensive comparative study on term weighting schemes for text categorization with support vector machines., , , and . WWW (Special interest tracks and posters), page 1032-1033. ACM, (2005)Memory-Based Model with Multiple Attentions for Multi-turn Response Selection., , and . ICONIP (2), volume 11302 of Lecture Notes in Computer Science, page 296-307. Springer, (2018)