Answer Sentence Selection

Answer Sentence Selection is a computational task in natural language processing that identifies the most relevant sentence from a given text to directly answer a question, distinguishing itself from related tasks by focusing specifically on sentence-level relevance rather than document retrieval or multi-sentence reasoning.

55

Publications

6.5K

Citations

138

Authors

60

Institutions

Publications per year

2017–2026

31

Authors

138

  1. AM
    Alessandro Moschitti

    University of Trento, Italy

    12 publications · 620 citations

    11

    h-index

  2. ZW
    Zhiguo Wang

    IBM (United States), United States

    5 publications · 1.1K citations

    5

    h-index

  3. KT
    Kateryna Tymoshenko

    University of Trento, Italy

    5 publications · 177 citations

    5

    h-index

  4. MZ
    Ming Zhou

    Microsoft Research Asia (China), China

    4 publications · 565 citations

    4

    h-index

  5. ML
    Mirella Lapata

    University of Edinburgh, United Kingdom

    3 publications · 231 citations

    3

    h-index

1–5 of 138

Venues

  1. arXiv (Cornell University)

    Repository · 10 publications · 860 citations

    10

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 137 citations

    3

    h-index

  3. CLEF (Working Notes)

    1 publications · 20 citations

    1

    h-index

  4. International Conference on Computational Linguistics

    Conference · 1 publications · 47 citations

    1

    h-index

  5. 1

    h-index

1–5