讲师
姓名：李香菊 性别：女 学历：博士研究生
职称：讲师 办公室：J13-322 隶属部门：人工智能系
联系方式：lixiangju100@163.com
个人简介：
李香菊，女，讲师，2021年于东北大学计算机软件与理论专业获取博士学位，2019年10月-2020年10月赴新加坡南洋理工大学bw必威西汉姆联官网首页自然语言处理组交流学习。主要研究方向：自然语言处理、情感分析、情绪分析、情绪原因分析；具体地，利用深度学习进行社会媒体文本知识挖掘分析文本中的情感/情绪类别以及产生情绪背后的原因等方面研究。发表相关论文十余篇，其中包括CCF A/B类论文4篇，中科院JCR分区为2区的论文4篇。担任EMNLP 2018、ICMLC 2018、Coling 2019等审稿人。联系电话/微信：15192007232；QQ:1054018690。
详细信息:
研究方向包括：深度学习、自然语言处理、文本挖掘、信息抽取、情绪分析等
发表论文：
[1] Xiangju Li, Wei Gao, Shi Feng, Yifei Zhang, Daling Wang. Boundary Detection with BERT for Span-level Emotion Cause Analysis. Association for Computational Linguistics 2021 (ACL 2021):676-682.
[2] Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq Rayhan Joty. Span-Level Emotion Cause Analysis by BERT-based Graph Attention Network. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021): 3221-3226.
[3] Xiangju Li, Wei Gao, Shi Feng, Daling Wang, Shafiq Rayhan Joty. Span-level Emotion Cause Analysis with Neural Sequence Tagging. The 30th ACM International Conference on Information and Knowledge Management (CIKM 2021): 3227-3231.
[4] Xiangju Li, Shi Feng, Daling Wang, Yifei Zhang. Multi-level Emotion Cause Analysis by Multi-head Attention Based Multi-task Learning. Twentieth China National Conference on Computational Linguistics 2021 (CCL 2021): 2021:77-93.
[5] Xiangju Li, Shi Feng, Daling Wang, Yifei Zhang. Context-aware Emotion Cause Analysis with Multi-attention-based Neural Network. Knowledge-Based Systems, 2019, 174: 205-218.
[6] Xiangju Li, Kaisong Song, Shi Feng, Daling Wang, Yifei Zhang. A Co-attention Neural Network Model for Emotion Cause Analysis with Emotional Context Awareness. Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing (EMNLP 2018) 2018: 4752-4757.
[7] Hong Zhao, Xiangju Li. A cost sensitive decision tree algorithm based on weighted class distribution with batch deleting attribute mechanism. Information Sciences, 2017, 378: 303-316.
[8] Xiangju Li, Hong Zhao, William Zhu. An exponent weighted algorithm for minimal cost feature selection. International Journal of Machine Learning and Cybernetics, 2016, 7 (5): 689–698.
[9] Xiangju Li, Hong Zhao, William Zhu. A cost sensitive decision tree algorithm with two adaptive mechanisms. Knowledge-Based Systems, 2015, 88: 24-33.
[10] Xiangju Li, Shi Feng, Daling Wang, Yifei Zhang. Decision tree method for the NTCIR-13 ECA Task. The 13th NTCIR Conference on Evaluation of Information Access Technologies. 2017.
[11] Hong Zhao, Xiangju Li, Zilong Xu, William Zhu. Cost-sensitive decision tree with probabilistic pruning mechanism. Proceedings of the 2015 International Conference on Machine Learning and Cybernetics, 2015: 81-87.
[12] Qiang Li, Lei Chen, Xiangju Li, Xiaofeng lv, Shuyue Xia, Yan Kang. PRF-RW: A progressive random forest-based random walk approach for interactive semiautomated pulmonary lobes segmentation. International Journal of Machine Learning and Cybernetics, 2020, 11(2).
[13] Qiang Li, Lei Chen, Xiangju Li, Shuyue Xia, Yan Kang. An improved random forests approach for interactive lobar segmentation on emphysema detection. Granular Computing, 2019.
[14] Jia Wei, Shi Feng, Daling Wang, Yifei Zhang, Xiangju Li. Attentional Neural Network for Emotion Detection in Conversations with Speaker Influence Awareness. Natural Language Processing and Chinese Computing 2019 (NLPCC 2019): 287-297.
[15] Zhuojin Liu, Zhongxin Jin, Chaodi Wei, Xiangju Li, Shi Feng. CoEmoCause: A Chinese Fine-grained Emotional Cause Extraction Dataset. International Conference on Web Information Systems and Applications (WISA), 2021: 519-530.
