Semantic Question Answering

Semantic Question Answering is a question answering approach that belongs to the class of methods leveraging deep semantic understanding of natural language, distinguished by its use of formal representations of meaning—such as logical forms, knowledge graphs, or ontological structures—to interpret questions and generate answers grounded in inferred or explicit semantic relationships.

277

Publications

19.6K

Citations

843

Authors

311

Institutions

Publications per year

2017–2026

96

Authors

843

  1. EM
    Enrico Motta

    The Open University, United Kingdom

    11 publications · 923 citations

    11

    h-index

  2. VL
    Vanessa López

    The Open University, United Kingdom

    8 publications · 874 citations

    8

    h-index

  3. VU
    Victoria Uren

    The Open University, United Kingdom

    6 publications · 511 citations

    6

    h-index

  4. WY
    Wen-tau Yih

    Microsoft (United States), United States

    6 publications · 1.7K citations

    6

    h-index

  5. AN
    Axel-Cyrille Ngonga Ngomo

    Leipzig University, Germany

    5 publications · 926 citations

    5

    h-index

1–5 of 843

Venues

  1. arXiv (Cornell University)

    Repository · 11 publications · 248 citations

    10

    h-index

  2. Knowledge-Based Systems

    6 publications · 267 citations

    6

    h-index

  3. Semantic Web

    5 publications · 596 citations

    5

    h-index

  4. Information Processing & Management

    5 publications · 349 citations

    5

    h-index

  5. CLEF (Working Notes)

    5 publications · 82 citations

    5

    h-index

1–5