蔡黎助理研究员
- 电子邮箱:
li.cai@ia.ac.cn
- 通讯地址:
北京市海淀区中关村东路95号
- 研究方向:
自然语言处理,知识图谱,
个人简介 :
在互联网算法领域有超过 10 年的积累,在大小公司搭建过算法团队,发表过顶级学术会议论文,对搜索,推荐,NLP 在各个互联网场景中的应用有比较深度和全面的理解。有好奇心,知识面广,喜欢深度思考和分析,都经济,商业,产品都有自己的思考。
发表论文 :
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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.