Concepedia

Neural Text Summarization

Neural Text Summarization is a text summarization approach that employs deep neural networks to generate concise and coherent summaries by learning hierarchical representations of source text, distinguishing itself from traditional methods through end-to-end learning and context-sensitive sequence modeling.

690

Publications

57.4K

Citations

1.8K

Authors

568

Institutions

Publications per year

2017–2026

566

Parents

Publications

690

Get To The Point: Summarization with Pointer-Generator Networks

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

, , +14

fairseq: A Fast, Extensible Toolkit for Sequence Modeling

Myle Ott, Sergey Edunov, Alexei Baevski et al. · 2019 · 2.5K citations · Full text

, , +17

Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond

Ramesh Nallapati, Bowen Zhou, Cícero dos Santos et al. · 2016 · 2.2K citations · Full text

, , +16

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

Jiatao Gu, Zhengdong Lu, Hang Li et al. · 2016 · 1.4K citations · Full text

, , +16

Bidirectional Attention Flow for Machine Comprehension

Min Joon Seo, Aniruddha Kembhavi, Ali Farhadi et al. · arXiv (Cornell University) · 2016 · 1.3K citations · Full text

, , +16

1–5 of 690

Authors

1.8K

  1. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    14 publications · 2K citations

    12

    h-index

  2. FW
    Furu Wei

    Microsoft Research Asia (China), China

    12 publications · 2.1K citations

    12

    h-index

  3. XQ
    Xipeng Qiu

    Fudan University, China

    11 publications · 839 citations

    11

    h-index

  4. FL
    Fei Liu

    University of Central Florida, United States

    10 publications · 455 citations

    10

    h-index

  5. BZ
    Bowen Zhou

    IBM (United States), United States

    10 publications · 5.1K citations

    10

    h-index

1–5 of 1.8K

Institutions

568

  1. Peking University

    Beijing, China

    22 h-index

    88 publications

    5.1K citations

  2. Google (United States)

    Mountain View, United States

    18 h-index

    75 publications

    9.1K citations

  3. Carnegie Mellon University

    Pittsburgh, United States

    18 h-index

    56 publications

    4.2K citations

  4. University of Edinburgh

    Edinburgh, United Kingdom

    15 h-index

    43 publications

    4.6K citations

  5. Chinese Academy of Sciences

    Beijing, China

    12 h-index

    44 publications

    2.1K citations

  6. Microsoft Research (United Kingdom)

    Cambridge, United Kingdom

    12 h-index

    25 publications

    1.2K citations

  7. University of Chinese Academy of Sciences

    Beijing, China

    12 h-index

    41 publications

    2.1K citations

  8. Microsoft (United States)

    Redmond, United States

    11 h-index

    35 publications

    3.1K citations

1–8 of 568

Venues

  1. arXiv (Cornell University)

    Repository · 122 publications · 8.6K citations

    40

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 21 publications · 2.3K citations

    16

    h-index

  3. Expert Systems with Applications

    19 publications · 1.2K citations

    16

    h-index

  4. Information Processing & Management

    13 publications · 1.1K citations

    13

    h-index

  5. Neurocomputing

    12 publications · 479 citations

    12

    h-index

1–5