段俊文

个人简介 段俊文，博士，现为中南大学计算机学院副教授、硕士生导师。博士毕业于哈尔滨工业大学计算机学院社会计算与信息检索研究中心，博士期间曾赴美国伊利诺伊大学香槟分校（UIUC）联合培养，导师ACM Fellow 翟成祥教授。主要研究内容为自然语言处理、文本挖掘、信息抽取、事理图谱、文本表示学习等。在国际知名期刊和会议TASLP/AAAI/IJCAI/EMNLP/COLING/NAACL等发表论文10余篇，同时担任ACL，AAAI, IJCAI, EMNLP等领域顶级会议和期刊审稿人，社会媒体处理专委会通讯委员。 【研究方向】围绕自然语言处理展开，具体包括：深度学习、文本表示学习、信息抽取（实体识别、关系抽取、事件抽取）、知识图谱与事理图谱的构造与应用、机器阅读理解、对话系统等。(什么是自然语言处理？) 【硕士招生】每年招收3名左右硕士研究生，目前还有少量名额，欢迎对自然语言处理、文本挖掘感兴趣的同学与我联系（邮箱：jwduan@csu.edu.cn）。 【本科生科研训练】欢迎对自然语言处理感兴趣的优秀本科生加入课题组。 论文发表（详见 Google Scholar主页） （* 表示通讯作者） Duan, Junwen, Shuyue Liu, Xincheng Liao, Feng Gong, Hailin Yue and Jianxin Wang. 2024. "Chinese EMR named entity recognition using fused label relations based on machine reading comprehension framework". IEEE/ACM Transactions on Computational Biology and Bioinformatics. （CCF B, JCR Q1） Duan, Junwen, Huai Guo, Han Jiang, Fei Guo and Jianxin Wang. 2024. "Boundary-aware dual biaffine model for sequential sentence classification in biomedical documents". IEEE/ACM Transactions on Computational Biology and Bioinformatics.（CCF B，JCR Q1） Duan, Junwen, Fangyuan Wei, Jin Liu, Hongdong Li, Tianming Liu and Jianxin Wang. 2023. "CDA: A Contrastive Data Augmentation Method for Alzheimer’s Disease Detection". Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada: Association for Computational Linguistics, 1819–26. doi:10.18653/v1/2023.findings-acl.114. （CCF A findings） Wu, Xuehong#, Junwen Duan#, Yi Pan and Min Li. 2023. "Medical knowledge graph: Data sources, construction, reasoning, and applications". Big Data Mining and Analytics 6(2): 201–17. (中科院一区） Yu, Ying, Junwen Duan and Min Li. 2023. "Fusion model for tentative diagnosis inference based on clinical narratives". Tsinghua Science and Technology 28(4): 686–95.（JCR Q1） Yu, Ying, Tian Qiu, Junwen Duan and Jianxin Wang. 2023. "Multigranularity label prediction model for automatic international classification of diseases coding in clinical text". Journal of Computational Biology 30(8): 900–911. (JCR Q2) Dou, Mingliang, Jiaqi Ding, Genlang Chen, Junwen Duan*, Fei Guo and Jijun Tang. 2023. "IK-DDI: a novel framework based on instance position embedding and key external text for DDI extraction". Briefings in Bioinformatics 24(3): bbad099.（CCF B，JCR Q1） Duan, Junwen, Huai Guo, Min Zeng and Jianxin Wang. 2022. "ASNet: An Adversarial Sparse Network for Multi-task Biomedical Named Entity Recognition". 2022 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 416–21.（CCF B） Duan, Junwen, Han Jiang and Ying Yu. 2023. "MHLAT: Multi-Hop Label-Wise Attention Model for Automatic ICD Coding". ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), IEEE, 1–5. （CCF B） Yu, Ying, Junwen Duan, Han Jiang and Jianxin Wang. 2023. "Automatic ICD Coding Based on Multi-granularity Feature Fusion". Bioinformatics Research and Applications: 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14–17, 2022, Proceedings, Springer Nature Switzerland Cham, 19–29. (CCF C) Jianbo Liao, Mingyi Jia Junwen Duan*, Jianxin Wang. 2023. "FBC: Fusing bi-encoder and cross-encoder for long-form text matching". 26th european conference on artificial intelligence ECAI 2023, , 1473–80. （CCF B） Li, Fangfang, Youran Shan, Junwen Duan*, Xingliang Mao and Minlie Huang. 2022. "WSpeller: Robust Word Segmentation for Enhancing Chinese Spelling Check". Findings of the Association for Computational Linguistics: EMNLP 2022, , 1179–88. （CCF B findings) Li, Fangfang, Puzhen Su, Junwen Duan* and Weidong Xiao. 2023. "Towards better representations for multi-label text classification with multi-granularity information". Findings of the association for computational linguistics: EMNLP 2023, , 9470–80. （CCF B findings) Liu, Shuyue, Junwen Duan*, Feng Gong, Hailin Yue and Jianxin Wang. 2023. "Fusing Label Relations for Chinese EMR Named Entity Recognition with Machine Reading Comprehension". Bioinformatics Research and Applications: 18th International Symposium, ISBRA 2022, Haifa, Israel, November 14–17, 2022, Proceedings, Springer Nature Switzerland Cham, 41–51. （CCF C) Wu, Xuehong, Junwen Duan*, Jianhua Li and Min Li. 2021. "nPTAS: A Novel Platform for Text Annotation and Service". 2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM), IEEE, 544–49. （CCF B） 2020年以前发表的论文 [1] Junwen Duan, Xiao Ding, Yue Zhang* and Ting Liu*. TEND： A Representation Learning Framework for News Documents. IEEE/ACM Transactins on Audio, Language and Speech, 2019. (CCF B 类期刊， JCR 一区) [2] Junwen Duan, Xiao Ding, and Ting Liu*. A Guassian Copula Regression Model for Movie Box-office Revenues Prediction. Science China Information Science, 2016. (CCF B 类期刊) [3] Junwen Duan, Yiheng Chen, Xiao Ding, and Ting Liu. Mining Intention-related Products on online QA Community, Journal of Computer Science and Technology, 2015. (CCF B 类期刊) [4] Junwen Duan, Yue Zhang, Xiao Ding, Ching-Yun Chang, Ting Liu. Learning Targetspecific Representations of Financial News Documents for Cumulative Abnormal Return Prediction. Coling 2018. (CCF B 类会议) [5] Junwen Duan, Xiao Ding, and Ting Liu. Learning Sentence Representations over Tree-structures for Target-Dependent Classification, NAACL 2018, pages 551-560. (CCF C 类会议) [6] Junwen Duan, Xiao Ding, and Ting Liu. “A Gaussian Copula Regression Model for Movie Box-office Revenue Prediction with Social Media.” , In Social Media Processing, pages 28-37, Springer Singapore, 2015. （EI 检索） [7] Junwen Duan, Xiao Ding, and Ting Liu. “Mining intention-related products on online q&a community.” , In Social Media Processing, pages 13-24. Springer, 2014 [Best Paper Honorable Mention] (EI 检索) [8] Xiao Ding, Ting Liu, Junwen Duan, and Jian-Yun Nie. “Mining user consumption intention from social media using domain adaptive convolutional neural network., In Proceedings of Twenty-Ninth AAAI Conference on Artificial Intelligence, pages 2389–2395. AAAI Press, 2015. （CCF A 类会议） [9] Xiao Ding, Kuo Liao, Ting Liu, Zhongyang Li and Junwen Duan. Event Representation Learning Enhanced with External Commonsense Knowledge[C]//EMNLPIJCNLP. 2019. (CCF B 类会议) [10] Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. Knowledge-driven event embedding for stock prediction[C]//Proceedings of COLING 2016. (CCF B 类会议) [11] Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. “Deep learning for event driven stock prediction.” , In Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, pages 2327-2333. AAAI Press, 2015. （CCF A 类会议） [12] Xiao Ding, Yue Zhang, Ting Liu, and Junwen Duan. “Using structured events to predict stock price movement: An empirical investigation.” , In Proceedings of EMNLP 2014, pages 1415-1425. （CCF B 类会议） 研究方向 [1]  自然语言处理、文本挖掘