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Disambiguation of "Lan, Man"

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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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Georg Man

Man Guo

László Mán

Man Xu

Tomá Man

 

Other publications of authors with the same name

Recognizing cross-lingual textual entailment with co-training using similarity and difference views., , , and . IJCNN, page 3705-3712. IEEE, (2014)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)Are Negative Samples Necessary in Entity Alignment?: An Approach with High Performance, Scalability and Robustness., , , and . CIKM, page 1263-1273. ACM, (2021)ECNU at SemEval-2018 Task 12: An End-to-End Attention-based Neural Network for the Argument Reasoning Comprehension Task., , and . SemEval@NAACL-HLT, page 1094-1098. Association for Computational Linguistics, (2018)ECNUCS: Recognizing Cross-lingual Textual Entailment Using Multiple Text Similarity and Text Difference Measures., , and . SemEval@NAACL-HLT, page 118-123. The Association for Computer Linguistics, (2013)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)A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs., , , , , and . COLING, page 2075-2086. International Committee on Computational Linguistics, (2022)LightEA: A Scalable, Robust, and Interpretable Entity Alignment Framework via Three-view Label Propagation., , , and . EMNLP, page 825-838. Association for Computational Linguistics, (2022)Extracting Entities and Relations with Joint Minimum Risk Training., , , , , , and . EMNLP, page 2256-2265. Association for Computational Linguistics, (2018)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)