Li CaiAssistant Professor
- E-mail：
li.cai@ia.ac.cn
- Address：
No. 95, East Zhongguancun Road, Haidian District of Beijing, China
- Research Interests：
Natural Language Processing (NLP), Knowledge Graphs
Professional Biography :
With over a decade of experience in the field of internet algorithms, Cai Li has built algorithm teams in both large and small companies. He has published papers in top-tier academic conferences and possesses a deep and comprehensive understanding of the application of search, recommendation systems, and Natural Language Processing (NLP) across various internet scenarios. Characterized by a curious nature and broad knowledge, he enjoys deep thinking and analysis, and has his own insights into economics, business, and product development.
Papers :
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Learning to Classify Large-Scale Questions in cQA by Leveraging Wikipedia Semantic Knowledge; CIKM 2011; Li Cai, Guangyou Zhou, Jun Zhao, and Kang Liu.
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Exploring the Existing Category Hierarchy to Automatically Label the Newly-arising Topics in cQA; CIKM 2012;Guangyou Zhou, Li Cai, Kang Liu, Jun Zhao.
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Prediction and Calibration: Complex Reasoning over Knowledge Graph with Bi-directional Directed Acyclic Graph Neural Network; ACL 2023; Yao Xu, Shizhu He, Li Cai, Kang Liu, Jun Zhao
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Multilingual Knowledge Graph Completion from Pretrained Language Models with Knowledge Constraints; ACL 2023; Ran Song, Shizhu He, Shengxiang Gao, Li Cai, Kang Liu, Zhengtao YU, Jun Zhao
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Learning To Build Reasoning Chains By Reliable Path Retrieval; ICASSP 2023; Minjun Zhu, Yixuan Weng, Shizhu He, Cunguang Wang,Kang Liu, Li Cai,Jun Zhao
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Phrase-based Translation Model for Question Retrieval in Community Question Answer Archives; ACL 2011; Guangyou Zhou, Li Cai, Jun Zhao, and Kang Liu
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Exploiting Web-Derived Selectional Preference to Improve Statistical Dependency Parsing; ACL 2011;Guangyou Zhou, Jun Zhao, and Kang Liu, Li Cai
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Learning the Latent Topics for Question Retrieval in Community QA; IJCNLP 2011; Li Cai, Guangyou Zhou, Kang Liu, and Jun Zhao
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Improving Dependency Parsing with Fine-Grained Features; IJCNLP 2011; Guangyou Zhou, Li Cai，Kang Liu, and Jun Zhao‘’
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Exploiting internal and external semantics for query classification using world knowledge; AIRS 2011; Li Cai，Guangyou Zhou, and Jun Zhao.
Institute of Automation, Chinese Academy of Sciences
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