个人简介
与联合国可持续发展目标相关的专业知识
2015 年，联合国成员国同意 17 项可持续发展目标 (SDG)，以消除贫困、保护地球并确保全人类的繁荣。此人的工作有助于实现下列可持续发展目标：
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可持续发展目标 16 和平、正义和强大机构
研究主题
深入其中 Wenhan Chao 为活跃的研究主题。这些主题标签来自此人的成果。它们共同形成唯一的指纹。
- 1 相似学者
最近五年的合作关系和顶尖研究领域
最近的国家/地区级外部合作关系。点击圆点，以了解详细信息或
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A joint framework for identifying the type and arguments of scientific contribution
Chao, W., Chen, M., Zhou, X. & Luo, Z., 6月 2023, 在: Scientometrics. 128, 6, 页码 3347-3376 30 页码科研成果: 期刊稿件 › 文章 › 同行评审
8 !!Link opens in a new tab 引用 （Scopus） -
Characterizing and Verifying Scientific Claims: Qualitative Causal Structure is All You Need
Wu, J., Chao, W., Zhou, X. & Luo, Z., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings. Bouamor, H., Pino, J. & Bali, K. (编辑). Association for Computational Linguistics (ACL), 页码 13428-13439 12 页码 (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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TP-Detector: Detecting Turning Points in the Engineering Process of Large-scale Projects
Wu, Q., Chao, W., Zhou, X. & Luo, Z., 2023, EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings of the System Demonstrations. Feng, Y. & Lefever, E. (编辑). Association for Computational Linguistics (ACL), 页码 177-185 9 页码 (EMNLP 2023 - 2023 Conference on Empirical Methods in Natural Language Processing, Proceedings of the System Demonstrations).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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What Makes a Charge? Identifying Charge-Discriminative Facts with Legal Elements
Luo, X., Chao, W., Zhou, X., Wang, L. & Luo, Z., 2023, Natural Language Processing and Chinese Computing - 12th National CCF Conference, NLPCC 2023, Proceedings. Liu, F., Duan, N., Xu, Q. & Hong, Y. (编辑). Springer Science and Business Media Deutschland GmbH, 页码 298-310 13 页码 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 卷 14302 LNAI).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
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Argumentation-Driven Evidence Association in Criminal Cases
Teng, Y. & Chao, W., 2021, Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021. Moens, M.-F., Huang, X., Specia, L. & Yih, S.W.-T. (编辑). Association for Computational Linguistics (ACL), 页码 2997-3001 5 页码 (Findings of the Association for Computational Linguistics, Findings of ACL: EMNLP 2021).科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审
开放访问2 !!Link opens in a new tab 引用 （Scopus）