Sense Embeddings

Sense Embeddings is a type of word representation in natural language processing that distinguishes between different lexical meanings of a word by mapping each sense to a distinct vector in a continuous semantic space.

105

Publications

5.8K

Citations

253

Authors

124

Institutions

Publications per year

2017–2026

65

Variants

Word Sense Embeddings

Authors

253

  1. RN
    Roberto Navigli

    Sapienza University of Rome, Italy

    8 publications · 636 citations

    8

    h-index

  2. MT
    Mohammad Taher Pilehvar

    University of Cambridge, United Kingdom

    6 publications · 548 citations

    6

    h-index

  3. AP
    Alexander Panchenko

    Skolkovo Institute of Science and Technology, Russia

    4 publications · 180 citations

    4

    h-index

  4. JC
    José Camacho-Collados

    Cardiff University, United Kingdom

    4 publications · 221 citations

    4

    h-index

  5. II
    Ignacio Iacobacci

    Sapienza University of Rome, Italy

    3 publications · 350 citations

    3

    h-index

1–5 of 253

Venues

  1. arXiv (Cornell University)

    Repository · 14 publications · 572 citations

    11

    h-index

  2. 4

    h-index

  3. IEEE Access

    3 publications · 113 citations

    3

    h-index

  4. Knowledge-Based Systems

    2 publications · 32 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 419 citations

    2

    h-index

1–5