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A Joint Model for Question Answering over Multiple Knowledge Bases.

Y. Zhang, S. He, K. Liu, и J. Zhao. AAAI, стр. 3094-3100. AAAI Press, (2016)

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Ning He

Hongxia He

Chunmao He

Xiaowen He

Hucang He

Другие публикации лиц с тем же именем

Curriculum Learning for Natural Answer Generation.C. Liu, S. He, K. Liu, и J. Zhao. IJCAI, стр. 4223-4229. ijcai.org, (2018)Unsupervised Dialogue State Tracking for End-to-End Task-Oriented Dialogue with a Multi-Span Prediction Network.Q. Liu, S. He, C. Liu, K. Liu, и J. Zhao. J. Comput. Sci. Technol., 38 (4): 834-852 (июля 2023)Learning to Represent Knowledge Graphs with Gaussian Embedding.S. He, K. Liu, G. Ji, и J. Zhao. CIKM, стр. 623-632. ACM, (2015)Learning to Align Question and Answer Utterances in Customer Service Conversation with Recurrent Pointer Networks.S. He, K. Liu, и W. An. AAAI, стр. 134-141. AAAI Press, (2019)Does BERT Know Which Answer Beyond the Question?F. Xia, Y. Weng, M. Xia, Q. Yu, S. He, K. Liu, S. Liu, и J. Zhao. CCKS (Evaluation Track), том 1553 из Communications in Computer and Information Science, стр. 69-81. Springer, (2021)Toward a Better Text Data Augmentation via Filtering and Transforming Augmented Instances.F. Xia, S. He, K. Liu, S. Liu, и J. Zhao. CCKS, том 1466 из Communications in Computer and Information Science, стр. 198-210. Springer, (2021)Decoupling Mixture-of-Graphs: Unseen Relational Learning for Knowledge Graph Completion by Fusing Ontology and Textual Experts.R. Song, S. He, S. Zheng, S. Gao, K. Liu, Z. Yu, и J. Zhao. COLING, стр. 2237-2246. International Committee on Computational Linguistics, (2022)Vocabulary Pyramid Network: Multi-Pass Encoding and Decoding with Multi-Level Vocabularies for Response Generation.C. Liu, S. He, K. Liu, и J. Zhao. ACL (1), стр. 3774-3783. Association for Computational Linguistics, (2019)Domain-Lifelong Learning for Dialogue State Tracking via Knowledge Preservation Networks.Q. Liu, P. Cao, C. Liu, J. Chen, X. Cai, F. Yang, S. He, K. Liu, и J. Zhao. EMNLP (1), стр. 2301-2311. Association for Computational Linguistics, (2021)MoDE-CoTD: Chain-of-Thought Distillation for Complex Reasoning Tasks with Mixture of Decoupled LoRA-Experts.X. Li, S. He, J. Wu, Z. Yang, Y. Xu, Y. jun Jun, H. Liu, K. Liu, и J. Zhao. LREC/COLING, стр. 11475-11485. ELRA and ICCL, (2024)

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