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Department of Computer Science

Lin Gui

photo2

Marie Curie Research Fellow

Room: 3.31
Email: Lin dot Gui at warwick dot ac dot uk

Introduction

I obtain my PhD degree from Harbin Institute of Technology, Shenzhen Graduate School, Shenzhen, China. My research interest includes Machine Learning, Nature Language Processing, and Sentiment Analysis. I am now a Marie Sklodowska-Curie Individual Fellow in University of Warwick, UK.

I have published over 40 papers with top conferences such as ACL, EMNLP, SIGIR, IJCAI, and CIKM, and high-impact journals such as IEEE Transactions on Knowledge and Data Engineering, IEEE Intelligent Systems, Knowledge-Based Systems, World Wide Web, IEEE Transactions on Affective Computing, Bioinformatics, and IEEE/ACM Transactions on Computational Biology and Bioinformatics.

In the last 5 years, I also serve the community of NLP research as PC member in most top conference including ACL, EMNLP, IJCAI, AAAI. I am also the reviewer of many high impact journals such as: IEEE Transactions on Audio, Speech and Language Processing, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Information Systems, IEEE Transactions on Cybernetics.

Research Interests

Transfer Learning, Multi-task Learning, Topic Modelling, Sentiment Analysis.

Reviewer and PC member

Conference: ACL, EMNLP, COLING, IJCAI, AAAI.
Journal: IEEE Transactions on Audio, Speech and Language Processing, ACM Transactions on Intelligent Systems and Technology, ACM Transactions on Information Systems, IEEE Transactions on Cybernetics.

Select Publications

    • Bin Liang§, Rongdi Yin, Lin Gui, Jiachen Du and Ruifeng Xu. Jointly Learning Aspect-Focused and Inter-Aspect Relations with Graph Convolutional Networks for Aspect Sentiment Analysis. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.(§Co-supervised student)
    • Junru Lu§, Gabriele Pergola, Lin Gui, Binyang Li and Yulan He. Cross-passage Hierarchical Memory Network for Generative Review Question Answering. In Proceedings of the 28th International Conference on Computational Linguistics (COLING), 2020.(§Co-supervised student)
    • Bin Liang§, Rongdi Yin, Lin Gui, Jiachen Du, Yulan He, Ruifeng Xu. Aspect-Invariant Sentiment Feature Learning: Adversarial Multi-task Learning for Aspect-based Sentiment Analysis. In Proceedings of the 28th ACM International Conference on Information and Knowledge Management (CIKM), 2020. (§Co-supervised student)
    • Lin Gui, Jia Leng, Jiyun Zhou, Ruifeng Xu, Yulan He. Multi-Task Learning with Mutual Learning for Joint Sentiment Classification and Topic Detection. IEEE Transactions on Knowledge and Data Engineering (TKDE), 2020.
    • Chuang Fan§, Chaofa Yuan, Jiachen Du, Lin Gui, Ruifeng Xu. Transition-based Directed Graph Construction for Emotion-Cause Pair Extraction. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics (ACL), 2020. (§Co-supervised student)
    • Lin Gui, Jia Leng, Gabriele Pergola, Yu Zhou, Ruifeng Xu, Yulan He. Neural Topic Model with Reinforcement Learning, Proceedings of Empirical Methods for Natural Language Processing (EMNLP) , 2019.
    • , Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, Rubin Mao. A Knowledge Regularized Hierarchical Approach for Emotion Cause Analysis. Proceedings of Empirical Methods for Natural Language Processing (EMNLP) , 2019. (§Co-supervised student)
    • , Qinghong Gao, Jiachen Du, Lin Gui, Ruifeng Xu, Kam-Fai Wong.
      Convolution-based Memory Network for Aspect-based Sentiment Analysis, The 41st International ACM SIGIR Conference on Research & Development in Information Retrieval (SIGIR), 2018. (§Co-supervised student)
    • Lin Gui, Jiannan Hu, Yulan He, Qin Lu, Ruifeng Xu, Jiachen Du. A Question Answering Approach to Emotion Cause Extraction, Proceedings of Empirical Methods for Natural Language Processing (EMNLP) , 2017.
    • Lin Gui, Ruifeng Xu, Yulan He, Qin Lu and Zhongyu Wei. Intersubjectivity and Sentiment: from Language to Knowledge, in Proceedings of 25th International Joint Conference on Artificial Intelligence(IJCAI), 2016.
    • Lin Gui, Dongyin Wu, Yu Zhou, Qin Lu and Ruifeng Xu*. Event-Driven Emotion Cause Extraction with Corpus Construction, in Proceedings of Empirical Methods for Natural Language Processing (EMNLP), 2016.
    • Lin Gui, Qin Lu, Ruifeng Xu, Minglei Li, Qikang Wei. A Novel Class Noise Estimation Method and Application in Classification, In Proceedings of the 24th ACM International Conference on Information and Knowledge Management (CIKM), 2015.
    • Ruifeng Xu, Lin Gui, Jun Xu, Qin Lu and Kam-Fai Wong. Cross Lingual Opinion Holder Extraction based on Multiple Kernel SVMs and Transfer Learning. World Wide Web, 2015.
    • Lin Gui, Ruifeng Xu, Qin Lu, Jun Xu, Jian Xu, Bin Liu, Xiaolong Wang. Cross lingual Opinion Analysis via. Negative Transfer Detection, In Proceedings of the 52th Annual Meeting of the Association for Computational Linguistics (ACL), 2014.