个人简历

About Me ([GitHub] [Google Scholar]
I am a Ph.D. candidate at the Department of Computer Science and Technology, Nanjing University (NJU). My supervisor is Prof. Xinyu Dai. I received my bachelor degree from the School of Computer Science and Engineering, Nanjing University of Science and Technology (NUST) in 2016. My recent works are mainly on sentiment analysis and opinion mining, low-resource learning, and neural network technique.
News
2021-03-10: UniDrop is accepted by NAACL 2021.
2020-10-01: ATN is accepted by COLING 2020.
2020-09-14: GTS is accepted by EMNLP 2020 Findings.
2020-07-30: Two papers are accepted by NLPCC 2020.
2020-06-02: Wins the Second Place of NLPCC 2020 Shared Task 2: Multi-Aspect-based Multi-Sentiment Analysis (MAMS)
2019-11-11: LOTN is accepted by AAAI 2020.
2019-07-30: Wins the Third Prize (Top5) of the Evaluation of Chinese Implicit Sentiment Analysis in the 8th National Conference on Socail Media Processing.
2019-02-22: TOWE is accepted by NAACL 2019.
2018-12-05: Wins the Champion of Aspects and Sentiment Recognition of Automotive Industry task (Top1/1701) and CCF Best Innovation Award in CCF BDCI 2018.
2017-11-08: HUAPA is accepted by AAAI 2018.
Selected Publications ([Full List])
(* indicates equal contribution)
UniDrop: A Simple yet Effective Technique to Improve Transformer without Extra Cost Zhen Wu, Lijun Wu, Qi Meng, Yingce Xia, Shufang Xie, Tao Qin, Xinyu Dai, Tie-Yan Liu NAACL-HLT, 2021 (oral presentation) [Paper] [中文解读] [Slides] [Poster] [BibTex] UniDrop integrated different dropout techniques and effectively improved Transformer performance.
Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction Zhen Wu, Chengcan Ying, Fei Zhao, Zhifang Fan, Xinyu Dai, Rui Xia EMNLP Findings, 2020 [Paper] [Datasets and Code] [中文解读] [BibTex] We propose a unified tagging scheme to address fine-grained opinion extraction, in the form of opinion pair (aspect term, opinion term) or opinion triplet (aspect term, opinion term, sentiment).
Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction Zhen Wu*, Fei Zhao*, Xin-Yu Dai, Shujian Huang, Jiajun Chen AAAI, 2020 (oral presentation) [Paper] [Code] [中文解读] [BibTex] We transter opinion knowledge from resource-rich document-level data to improve target-oriented opinion words extraction.
Attention Transfer Network for Aspect-level Sentiment Classification Fei Zhao*, Zhen Wu*, Xin-Yu Dai COLING, 2020 [Paper] [Code] [中文解读] [BibTex] We transter opinion knowledge from resource-rich document-level data to improve aspect-level sentiment classification.
Transformer-based Multi-Aspect Modeling for Multi-Aspect Multi-Sentiment Analysis Zhen Wu*, Chengcan Ying*, Xinyu Dai, Shujian Huang, Jiajun Chen NLPCC Evaluation, 2020 [Paper] [Code] [BibTex] A simple yet effective method to improve and accelerate multi-aspect multi-sentiment classification.
Opinion Transmission Network for Jointly Improving Aspect-oriented Opinion Words Extraction and Sentiment Classification Chengcan Ying*, Zhen Wu*, Xinyu Dai, Shujian Huang, Jiajun Chen NLPCC, 2020 [Paper] [BibTex] A joint method to improve both target-oriented opinion words extraction and aspect-level sentiment classification.
Target-oriented Opinion Words Extraction with Target-fused Neural Sequence Labeling Zhifang Fan, Zhen Wu, Xin-Yu Dai, Shujian Huang, Jiajun Chen NAACL-HLT, 2019 [Paper] [Datasets and Code] [中文解读] [Talk] [BibTex] We proposed a new ABSA subtask Target-oriented Opinion Words Extraction and released the datasets. We are the first to annotate the datasets of opinion pair (aspect term, opinion term).
Improving Review Representations with User Attention and Product Attention for Sentiment Classification Zhen Wu, Xin-Yu Dai, Cunyan Yin, Shujian Huang, Jiajun Chen AAAI, 2018 (oral presentation) [Paper] [Code] [Poster] [BibTex] Modeling reviews respectively from user's perspective and product's perspective.
Experience
Aug. 2020 - Mar. 2021, research intern at Microsoft Research Asia, supervised by Lijun Wu and Tao Qin
Honor
National Scholarship, 2020.
NLPCC 2020 Shared Task, Multi-Aspect-based Multi-Sentiment Analysis (MAMS), 2020, Second Place.
Evaluation of Chinese Implicit Sentiment Analysis in the 8th National Conference on Social Media Processing, 2019, Third Prize (Top5).
CCF Big Data & Computing Intelligence Contest, \

研究领域

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Program Committee Member/Conference Reviewer
AAAI Conference on Artificial Intelligence (AAAI), 2021
Annual Meeting of the Association for Computational Linguistics (ACL), 2021
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2021
International Conference on Computational Linguistics (COLING), 2020
China National Conference on Computational Linguistics (CCL), 2021
International Workshop on Natural Language Processing for Social Media (SocialNLP), 2021