Topic-guided Summarization

Topic-Guided Summarization is a text summarization approach that generates concise summaries by explicitly incorporating user-specified or model-identified topics to guide the selection and emphasis of content, thereby distinguishing it from general or extractive summarization methods that do not prioritize topical alignment.

146

Publications

7.3K

Citations

416

Authors

161

Institutions

Publications per year

2017–2026

49

Authors

416

  1. XW
    Xiaojun Wan

    Peking University, China

    5 publications · 376 citations

    5

    h-index

  2. WL
    Wenjie Li

    Hong Kong Polytechnic University, Hong Kong SAR China

    5 publications · 192 citations

    5

    h-index

  3. CL
    Chin-Yew Lin

    Microsoft Research Asia (China), China

    4 publications · 1K citations

    4

    h-index

  4. EH
    Eduard Hovy

    Carnegie Mellon University, United States

    4 publications · 1K citations

    4

    h-index

  5. RC
    Ramesh Chandra Belwal

    Indian Institute of Information Technology Design and Manufacturing Jabalpur, India

    3 publications · 159 citations

    3

    h-index

1–5 of 416

Venues

  1. Expert Systems with Applications

    5 publications · 318 citations

    5

    h-index

  2. arXiv (Cornell University)

    Repository · 4 publications · 83 citations

    4

    h-index

  3. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 109 citations

    4

    h-index

  4. Information Processing & Management

    3 publications · 133 citations

    3

    h-index

  5. 2

    h-index

1–5