Answer Extraction

Answer Extraction is a computational method in the field of natural language processing that identifies and isolates the precise portion of input text containing the information relevant to a given question, distinguishing it from broader question answering approaches by focusing specifically on locating and extracting span-level answers rather than generating or paraphrasing responses.

309

Publications

12.9K

Citations

902

Authors

266

Institutions

Publications per year

2017–2026

122

Authors

902

  1. CL
    Chin-Yew Lin

    Microsoft Research Asia (China), China

    10 publications · 1K citations

    10

    h-index

  2. LM
    Lluı́s Màrquez

    Universitat Politècnica de Catalunya, Spain

    8 publications · 790 citations

    8

    h-index

  3. FW
    Furu Wei

    Microsoft Research Asia (China), China

    8 publications · 428 citations

    8

    h-index

  4. EH
    Eduard Hovy

    Carnegie Mellon University, United States

    7 publications · 590 citations

    7

    h-index

  5. AM
    Alessandro Moschitti

    University of Trento, Italy

    7 publications · 863 citations

    7

    h-index

1–5 of 902

Venues

  1. arXiv (Cornell University)

    Repository · 24 publications · 826 citations

    15

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 9 publications · 332 citations

    9

    h-index

  3. Text REtrieval Conference

    Conference · 8 publications · 261 citations

    8

    h-index

  4. Zurich Open Repository and Archive (University of Zurich)

    Repository · 5 publications · 70 citations

    5

    h-index

  5. CLEF (Working Notes)

    4 publications · 53 citations

    4

    h-index

1–5