张元哲，男，博士，副研究员

张元哲于2016年在中国科学院大学获工学博士学位，现任中国科学院自动化研究所副研究员。主要研究方向为知识图谱、自然语言处理、机器阅读理解、模型可解释性等。曾获第十八届中国计算语言学大会最佳论文奖，参与研发的“大规模开放域文本知识获取与应用平台”项目获得2019年度北京市科学技术进步奖一等奖（个人排名第六）。
 

• 知识图谱
• 自然语言处理
• 机器阅读理解
• 模型可解释性

• Zhongtao Jiang, Yuanzhe Zhang, Zhao Yang, Kang Liu, and Jun Zhao. Alignment rationale for natural language inference. In Proceedings of the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP 2021).
• Yuanzhe Zhang, Zhongtao Jiang, Tao Zhang, Shiwan Liu, Jiarun Cao, Kang Liu, Shengping Liu, and Jun Zhao. MIE: A medical information extractor towards medical dialogues. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL 2020), pages 6460–6469, Online, July 2020. Association for Computational Linguistics.
• Zhixing Tian, Yuanzhe Zhang, Xinwei Feng, Wenbin Jiang, Yajuan Lyu, Kang Liu, and Jun Zhao. Capturing sentence relations for answer sentenceselection with multi-perspective graph encoding. InProceedings of the AAAI Conference on Artificial Intelligence, volume 34, pages 9032–9039, 2020.
• Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, Yantao Jia, and Zhicheng Sheng. Scene restoring for narrative machine reading comprehen-sion. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP 2020), pages 3063–3073, Online, November 2020.Association for Computational Linguistics.
• Delai Qiu, Liang Bao, Zhixing Tian, Yuanzhe Zhang, Kang Liu, Jun Zhao, and Xiangwen Liao. Reconstructed option rereading network for opinionquestions reading comprehension. In China National Conference on Chinese Computational Linguistics, pages 93–104. Springer, 2019. (Best Paper Award)
• Yanchao Hao, Yuanzhe Zhang, Kang Liu, Shizhu He, Zhanyi Liu, Hua Wu,and Jun Zhao. An end-to-end model for question answering over knowledgebase with cross-attention combining global knowledge. InProceedings ofthe 55th Annual Meeting of the Association for Computational Linguistics (ACL), pages 221–231, Vancouver, Canada, July 2017.Association for Computational Linguistics.
• Yuanzhe Zhang, Shizhu He, Kang Liu, and Jun Zhao. A joint model forquestion answering over multiple knowledge bases. In Proceedings of theAAAI Conference on Artificial Intelligence, volume 30, 2016.
• Kang Liu, Jun Zhao, Shizhu He, and Yuanzhe Zhang. Question answeringover knowledge bases. IEEE Intelligent Systems, 30(5):26–35, 2015.