Semantic Document Representation

Semantic Document Representation is a document representation that, as a genus, captures the meaning-based features of textual content beyond surface-level syntax, and, through its differentia, explicitly models higher-level linguistic semantics such as concepts, relationships, and contextual nuances to facilitate tasks requiring deep understanding of document-level meaning.

159

Publications

10.1K

Citations

535

Authors

195

Institutions

Publications per year

2017–2026

49

Authors

535

  1. MG
    Marko Grobelnik

    Jožef Stefan Institute, Slovenia

    4 publications · 103 citations

    4

    h-index

  2. DR
    Delia Rusu

    Jožef Stefan Institute, Slovenia

    3 publications · 64 citations

    3

    h-index

  3. JD
    James Dowdall

    University of Zurich, Switzerland

    3 publications · 116 citations

    3

    h-index

  4. AM
    Antonio M. Rinaldi

    University of Naples Federico II, Italy

    3 publications · 74 citations

    3

    h-index

  5. FR
    Fabio Rinaldi

    University of Zurich, Switzerland

    3 publications · 116 citations

    3

    h-index

1–5 of 535

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 173 citations

    5

    h-index

  2. Data & Knowledge Engineering

    DKE · 3 publications · 83 citations

    3

    h-index

  3. IEEE Transactions on Fuzzy Systems

    TFS · 3 publications · 345 citations

    3

    h-index

  4. Information Processing & Management

    3 publications · 104 citations

    3

    h-index

  5. Knowledge-Based Systems

    3 publications · 135 citations

    3

    h-index

1–5