World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
67
Citations
28344
World Ranking
2144
National Ranking
293

Overview

Chin-Yew Lin is affiliated with Microsoft Research Asia in China and has contributed extensively to the field of computer science, with a strong focus on artificial intelligence. Their research portfolio includes 67 publications, predominantly in artificial intelligence, with additional work in computer vision and pattern recognition, management science and operations research, information systems, and computer graphics and computer-aided design.

The scientist's recent work spans multiple domains, focusing particularly on natural language processing techniques and topic modeling. Their research topics include:

  • Topic Modeling
  • Natural Language Processing Techniques
  • Data Quality and Management
  • Multimodal Machine Learning Applications
  • Advanced Text Analysis Techniques
  • Speech and Dialogue Systems
  • Text Readability and Simplification

Chin-Yew Lin's publication record features contributions to various prominent venues, including:

  • arXiv (Cornell University)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • Findings of the Association for Computational Linguistics: ACL 2022
  • Proceedings of the International AAAI Conference on Web and Social Media
  • Journal of Web Semantics

Notable recent papers authored by or involving Chin-Yew Lin include:

  • "Decomposed Meta-Learning for Few-Shot Named Entity Recognition," 2022, Findings of the Association for Computational Linguistics: ACL 2022
  • "Improving Entity Linking by Modeling Latent Entity Type Information," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Enhanced Meta-Learning for Cross-Lingual Named Entity Recognition with Minimal Resources," 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • "Participation Maximization Based on Social Influence in Online Discussion Forums," 2021, Proceedings of the International AAAI Conference on Web and Social Media
  • "LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression," 2023, arXiv (Cornell University)

The scientist frequently collaborates with a consistent group of coauthors, including Huiqiang Jiang, Qianhui Wu, Tingting Ma, Börje F. Karlsson, and Lili Qiu. These collaborations reflect ongoing joint research efforts in related areas of artificial intelligence and natural language processing.

Best Publications

  • ROUGE: A Package for Automatic Evaluation of Summaries

    Chin-Yew Lin

  • Automatic evaluation of summaries using N-gram co-occurrence statistics

    Chin-Yew Lin;Eduard Hovy

  • Automated Text Summarization in SUMMARIST

    Eduard Hovy;Chin-Yew Lin

  • Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics

    Chin-Yew Lin;Franz Josef Och

  • AUTOMATED TEXT SUMMARIZATION AND THE SUMMARIST SYSTEM

    Eduard Hovy;Chin-Yew Lin

  • The automated acquisition of topic signatures for text summarization

    Chin-Yew Lin;Eduard Hovy

  • Low-Quality Product Review Detection in Opinion Summarization

    Jingjing Liu;Yunbo Cao;Chin-Yew Lin;Yalou Huang

  • Identifying Topics by Position

    Chin-Yew Lin;Eduard Hovy

  • Question Answering in Webclopedia.

    Eduard H. Hovy;Laurie Gerber;Ulf Hermjakob;Michael Junk

  • ORANGE: a method for evaluating automatic evaluation metrics for machine translation

    Chin-Yew Lin;Franz Josef Och

  • Joint Entity Recognition and Disambiguation

    Gang Luo;Xiaojiang Huang;Chin-Yew Lin;Zaiqing Nie

  • From Single to Multi-document Summarization

    Chin-Yew Lin;Eduard Hovy

  • Finding question-answer pairs from online forums

    Gao Cong;Long Wang;Chin-Yew Lin;Young-In Song

  • What's in a name?: an unsupervised approach to link users across communities

    Jing Liu;Fan Zhang;Xinying Song;Young-In Song

  • Manual and automatic evaluation of summaries

    Chin-Yew Lin;Eduard Hovy

  • Training a selection function for extraction

    Chin-Yew Lin

  • Toward semantics-based answer pinpointing

    Eduard Hovy;Laurie Gerber;Ulf Hermjakob;Chin-Yew Lin

  • Automated Text Summarization

    Chin-Yew Lin

  • Automated Summarization Evaluation with Basic Elements.

    Eduard H. Hovy;Chin-Yew Lin;Liang Zhou;Junichi Fukumoto

  • COM: a generative model for group recommendation

    Quan Yuan;Gao Cong;Chin-Yew Lin

  • Joint Named Entity Recognition and Disambiguation

    Gang Luo;Xiaojiang Huang;Chin-Yew Lin;Zaiqing Nie

Frequent Co-Authors

Eduard Hovy
Eduard Hovy Carnegie Mellon University
Tetsuya Sakai
Tetsuya Sakai Waseda University
Ming Zhou
Ming Zhou Langboat Technology
Gao Cong
Gao Cong Nanyang Technological University
Shuming Shi
Shuming Shi Tencent (China)
Yong Yu
Yong Yu Shanghai Jiao Tong University
Miles Osborne
Miles Osborne Bloomberg LP
Hsiao-Wuen Hon
Hsiao-Wuen Hon Microsoft Research Asia (China)
Heng Ji
Heng Ji University of Illinois at Urbana-Champaign
Jianfeng Gao
Jianfeng Gao Microsoft (United States)

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