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LogicalFactChecker: Leveraging Logical Operations for Fact Checking with Graph Module Network.

W. Zhong, D. Tang, Z. Feng, N. Duan, M. Zhou, M. Gong, L. Shou, D. Jiang, J. Wang, и J. Yin. ACL, стр. 6053-6065. Association for Computational Linguistics, (2020)

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Tang Tang

Junhua Tang

Fei Tang

Jian Tang

Duozhuang Tang

Другие публикации лиц с тем же именем

Neural Semantic Parsing in Low-Resource Settings with Back-Translation and Meta-Learning.Y. Sun, D. Tang, N. Duan, Y. Gong, X. Feng, B. Qin, и D. Jiang. AAAI, стр. 8960-8967. AAAI Press, (2020)Aspect Level Sentiment Classification with Deep Memory Network.D. Tang, B. Qin, и T. Liu. EMNLP, стр. 214-224. The Association for Computational Linguistics, (2016)Deep learning for sentiment analysis: successful approaches and future challenges.D. Tang, B. Qin, и T. Liu. WIREs Data Mining Knowl. Discov., 5 (6): 292-303 (2015)GraphCodeBERT: Pre-training Code Representations with Data Flow.D. Guo, S. Ren, S. Lu, Z. Feng, D. Tang, S. Liu, L. Zhou, N. Duan, A. Svyatkovskiy, S. Fu и 8 other автор(ы). ICLR, OpenReview.net, (2021)Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification.D. Tang, F. Wei, N. Yang, M. Zhou, T. Liu, и B. Qin. ACL (1), стр. 1555-1565. The Association for Computer Linguistics, (2014)Syntax-Enhanced Pre-trained Model.Z. Xu, D. Guo, D. Tang, Q. Su, L. Shou, M. Gong, W. Zhong, X. Quan, D. Jiang, и N. Duan. ACL/IJCNLP (1), стр. 5412-5422. Association for Computational Linguistics, (2021)Effidit: An Assistant for Improving Writing Efficiency.S. Shi, E. Zhao, W. Bi, D. Cai, L. Cui, X. Huang, H. Jiang, D. Tang, K. Song, L. Wang и 4 other автор(ы). ACL (demo), стр. 508-515. Association for Computational Linguistics, (2023)SkillNet-NLG: General-Purpose Natural Language Generation with a Sparsely Activated Approach.J. Liao, D. Tang, F. Zhang, и S. Shi. CoRR, (2022)Effidit: Your AI Writing Assistant.S. Shi, E. Zhao, D. Tang, Y. Wang, P. Li, W. Bi, H. Jiang, G. Huang, L. Cui, X. Huang и 3 other автор(ы). CoRR, (2022)One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code.Y. Dai, D. Tang, L. Liu, M. Tan, C. Zhou, J. Wang, Z. Feng, F. Zhang, X. Hu, и S. Shi. CoRR, (2022)

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