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A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs.

L. Cai, X. Mao, M. Ma, H. Yuan, J. Zhu, и M. Lan. COLING, стр. 2075-2086. International Committee on Computational Linguistics, (2022)

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Yuzhao Ma

Characterization of higher order modes in optical fibersY. Ma. Uni Erlangen-Nürnberg, (2009)

Tsie Ma

Jingxiang Ma

Lan Ma

Qingjun Ma

Другие публикации лиц с тем же именем

Understanding Gender Bias in Knowledge Base Embeddings.Y. Du, Q. Zheng, Y. Wu, M. Lan, Y. Yang, и M. Ma. ACL (1), стр. 1381-1395. Association for Computational Linguistics, (2022)A Dual-Attention Neural Network for Pun Location and Using Pun-Gloss Pairs for Interpretation.S. Liu, M. Ma, H. Yuan, J. Zhu, Y. Wu, и M. Lan. NLPCC (1), том 13028 из Lecture Notes in Computer Science, стр. 688-699. Springer, (2021)A Simple Temporal Information Matching Mechanism for Entity Alignment between Temporal Knowledge Graphs.L. Cai, X. Mao, M. Ma, H. Yuan, J. Zhu, и M. Lan. COLING, стр. 2075-2086. International Committee on Computational Linguistics, (2022)RoKGDS: A Robust Knowledge Grounded Dialog System.J. Zhang, Y. Sun, Y. Zhang, W. Xu, J. Ying, Y. Yang, M. Lan, M. Ma, H. Yuan, и J. Zhu. NLPCC (2), том 13029 из Lecture Notes in Computer Science, стр. 377-387. Springer, (2021)An Effective and Efficient Entity Alignment Decoding Algorithm via Third-Order Tensor Isomorphism.X. Mao, M. Ma, H. Yuan, J. Zhu, Z. Wang, R. Xie, W. Wu, и M. Lan. ACL (1), стр. 5888-5898. Association for Computational Linguistics, (2022)CPNet: Exploiting CLIP-based Attention Condenser and Probability Map Guidance for High-fidelity Talking Face Generation.J. Xu, B. Tang, M. Wang, M. Li, и M. Ma. ICME, стр. 240-245. IEEE, (2023)Target-dependent Event Detection: A New Task to Event Extraction from News.T. Zhang, X. Mao, D. Li, M. Ma, H. Yuan, J. Zhu, и M. Lan. IEEE BigData, стр. 571-580. IEEE, (2021)Prompt-based Connective Prediction Method for Fine-grained Implicit Discourse Relation Recognition.H. Zhou, M. Lan, Y. Wu, Y. Chen, и M. Ma. EMNLP (Findings), стр. 3848-3858. Association for Computational Linguistics, (2022)

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