Contextual Term Extraction

Contextual Term Extraction is a computational method in natural language processing that identifies domain-specific terms by analyzing their co-occurrence patterns and semantic environments within a text corpus, distinguishing itself from general term extraction through its explicit reliance on contextual usage to determine term significance.

60

Publications

2.6K

Citations

174

Authors

93

Institutions

Publications per year

2017–2026

13

Authors

174

  1. SA
    Sophia Ananiadou

    University of Manchester, United Kingdom

    3 publications · 311 citations

    3

    h-index

  2. KT
    Katerina T. Frantzi

    Manchester Metropolitan University, United Kingdom

    3 publications · 267 citations

    3

    h-index

  3. DM
    Diana Maynard

    University of Sheffield, United Kingdom

    2 publications · 73 citations

    2

    h-index

  4. TC
    Tat‐Seng Chua

    National University of Singapore, Singapore

    2 publications · 74 citations

    2

    h-index

  5. SS
    Sabine Schulte im Walde

    University of Stuttgart, Germany

    2 publications · 106 citations

    2

    h-index

1–5 of 174

Venues

  1. Journal of Natural Language Processing

    2 publications · 264 citations

    2

    h-index

  2. 2

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  3. arXiv (Cornell University)

    Repository · 2 publications · 57 citations

    2

    h-index

  4. 1

    h-index

  5. National University of Singapore

    Repository · 1 publications · 22 citations

    1

    h-index

1–5