个人简历

Teaching
Compilers: Principles, Techniques, and Tools.
Natural Language Processing.
Biography
I received my B.S. degree in Computer Science at Nanjing University in 1999, and my PhD in Computer Science at Nanjing University in 2005. I joined the Nanjing University as an assistant professor in 2005 , worked as an associate professor from 2008, and obtained professor in 2017. I have been on leave from Nanjing University from August 2010 to September 2011 to visit EECS Department and Statistics Department at UC Berkeley.
Projects
Recommendation System-Oriented Finer-grained Sentiment Analysis, NSFC:61976114, 2020.1-2023.12.
Research on Chinese Frame Semantic Computing Based on Linguistic Cognitive Mechanism, NSFC:61936012. 2020.1-2024.12
Key Techniques and Systems for Solving Knowledge Association and Event Reasoning Problems, MOST：2018YFB1005102. 2019.05--2022.04.
Recent Selected Publications

研究领域

Language Intelligence and Knowledge Engineering (LIKE)
Language Processing and Human-Machine Communication""

近期论文

R Wang, X Su, S Long, X Dai，S Huang, J Chen, Meta-LMTC: Meta-Learning for Large-Scale Multi-Label Text Classification, EMNLP'2021
X Chen, P Jin, L Qiu, J Zhang, X Dai and J CHEN, Automatic Detection of Machine-generated Texts Is Not Reliable, Findlings of EMNLP'2021
Y Ouyang, J Ye, Y Chen, X Dai, S Huang, J Chen, Energy-based Unknown Intent Detection with Data Manipulation, Findlings of ACL'2021
Z Wu, L Wu, Q Meng, Y Xia, S Xie, T Qin, X Dai, TY Liu. Unidrop: A simple yet effective technique to improve transformer without extra cost.NAACL'2021
P Sun, Y Ouyang, W Zhang, X Dai, MEDA: Meta-Learning with Data Augmentation for Few-Shot Text Classification. IJCAI'2021
B Fu, W Zhang, G Hu, X Dai, S Huang, J Chen. Dual Side Deep Context-aware Modulation for Social Recommendation. WWW'2021
W Yuan, T He, X Dai. Improving Neural Question Generation using Deep Linguistic Representation.WWW'2021
Y Cao, L He, R Ridley, X Dai. Integrating BERT and Score-based Feature Gates for Chinese Grammatical Error Diagnosis. NLPTEA'2020
R Ridley, L He, X Dai, S Huang, J Chen. Automated Cross-prompt Scoring of Essay Traits, AAAI'2021
R Wang, Robert Ridley, X Su, W Qu, X Dai. A Novel Reasoning Mechanism for Multi-Label Text Classification, Information Processing and Management 58(2), March 2021.
Pengfei Sun, Yawen Ouyang, Xin-Yu Dai, et.al., Similarity Learning with Implicit-network and Explicit-network for Zero-shot Intent Detection. accepted by SCIENTIA SINCA Informatics(In Chinese). In press.
Kaijia Yang, Nantao Zheng, Xin-Yu Dai, et. al., Enhance Prototypical Network with Text Descriptions for Few-shot Relation Classification, CIKM’2020. (short paper)
Chengcan Yin, Zhen Wu, Xin-Yu Dai, et.al., Opinion Transmission Network for Jointly Improving Aspect-Oriented Opinion Words Extraction and Sentiment Classification, NLPCC’2020.
Zhen Wu, Chengcan Yin, Xin-Yu Dai, et.al., Transformer-Based Multi-aspect Modeling for Multi-aspect Multi-sentiment Analysis, NLPCC’2020 Evaluation Workshop.
Siyu Long, Ran Wang, et. al., Synonym Knowledge Enhanced Reader for Chinese Idiom Reading Comprehension. COLING’2020.
Fei Zhao, Zhen Wu, Xin-Yu Dai, Attention Transfer Network for Aspect-level Sentiment Classification, COLING’2020.
Zhen Wu, Chengcan Ying, et. al., Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction, Findings of EMNLP’2020.
Yawen Ouyang, Moxin Chen, Xinyu Dai, et.al., Dialogue State Tracking with Explicit Slot Connections Modeling, ACL'2020.(short paper)
Danhao Zhu, Xin-Yu Dai, et.al., Sampling Informative Context Nodes for Network Embedding. Accepted by SCIENCE CHINA Information Sciences.
Zhen Wu, Fei Zhao, Xin-Yu Dai, et.al., Latent Opinions Transfer Network for Target-Oriented Opinion Words Extraction. AAAI'2020.
Chunyang Tan, Xin-Yu Dai, et.al., MSGE: A Multi-step Gated Model for Knowledge Graph Completion.PAKDD'2020
Zhu, Danhao, Xin-Yu Dai, and Jiajun Chen. \