Concepedia

Summary Generation Models

Summary Generation Models is a computational framework within natural language processing that systematically produces concise and coherent representations of source texts by identifying and retaining essential information, distinguished from other text generation approaches through its specific focus on extracting and condensing salient content.

643

Publications

43.2K

Citations

1.9K

Authors

572

Institutions

Publications per year

2017–2026

446

Variants

Summarization Models

Parents

Publications

643

Get To The Point: Summarization with Pointer-Generator Networks

Abigail See, Peter J. Liu, Christopher D. Manning · 2017 · 3.9K citations · Full text

, , +14

Text Summarization with Pretrained Encoders

Yang Liu, Mirella Lapata · 2019 · 1.6K citations · Full text

, , +13

A trainable document summarizer

Julian Kupiec, Jan Pedersen, Francine Chen · 1995 · 1.3K citations · Full text

, , +10

Abstractive Sentence Summarization with Attentive Recurrent Neural Networks

Sumit Chopra, Michael Auli, Alexander M. Rush · 2016 · 932 citations · Full text

, , +15

Generic text summarization using relevance measure and latent semantic analysis

Yihong Gong, Xin Liu · 2001 · 853 citations

, , +14

1–5 of 643

Authors

1.9K

  1. KM
    Kathleen McKeown

    Columbia University, United States

    15 publications · 1.9K citations

    14

    h-index

  2. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    11 publications · 2.1K citations

    11

    h-index

  3. MB
    Mohit Bansal

    University of North Carolina at Chapel Hill, United States

    11 publications · 1.2K citations

    11

    h-index

  4. DR
    Dragomir Radev

    University of Michigan, United States

    10 publications · 1.1K citations

    10

    h-index

  5. CZ
    Chenguang Zhu

    Microsoft (United States), United States

    9 publications · 212 citations

    9

    h-index

1–5 of 1.9K

Institutions

572

  1. Peking University

    Beijing, China

    22 h-index

    83 publications

    5.2K citations

  2. University of Edinburgh

    Edinburgh, United Kingdom

    15 h-index

    49 publications

    6K citations

  3. Columbia University

    New York, United States

    15 h-index

    31 publications

    3.8K citations

  4. Chinese Academy of Sciences

    Beijing, China

    15 h-index

    60 publications

    2.7K citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    13 h-index

    40 publications

    2.2K citations

  6. Google (United States)

    Mountain View, United States

    12 h-index

    34 publications

    5.5K citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    11 h-index

    34 publications

    1.2K citations

  8. University of Washington

    Seattle, United States

    11 h-index

    29 publications

    4.3K citations

1–8 of 572

Venues

  1. arXiv (Cornell University)

    Repository · 65 publications · 2.3K citations

    26

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 27 publications · 1.9K citations

    21

    h-index

  3. IEEE Access

    15 publications · 588 citations

    14

    h-index

  4. 8

    h-index

  5. 5

    h-index

1–5