Automatic Lexicon Construction

Automatic Lexicon Construction is a computational methodology within natural language processing that systematically generates structured lexical resources from textual data without manual intervention, distinguishing it from rule-based or manually curated lexicon development approaches.

201

Publications

12.2K

Citations

463

Authors

218

Institutions

Publications per year

2017–2026

39

Variants

Automated Lexicon Construction

Authors

463

  1. ER
    Ellen Riloff

    University of Utah, United States

    8 publications · 1.5K citations

    8

    h-index

  2. LV
    Lucy Vanderwende

    Microsoft (United States), United States

    5 publications · 380 citations

    5

    h-index

  3. TB
    Ted Briscoe

    University of Cambridge, United Kingdom

    4 publications · 329 citations

    4

    h-index

  4. SD
    Stephen D. Richardson

    GSI Environmental (United States), United States

    4 publications · 348 citations

    4

    h-index

  5. JB
    Julian Brooke

    University of Toronto, Canada

    4 publications · 59 citations

    4

    h-index

1–5 of 463

Venues

  1. Expert Systems with Applications

    4 publications · 190 citations

    4

    h-index

  2. PubMed

    Repository · 4 publications · 90 citations

    4

    h-index

  3. The Association for Computational Linguistics

    4 publications · 968 citations

    4

    h-index

  4. Information Processing & Management

    3 publications · 58 citations

    3

    h-index

  5. Behavior Research Methods

    BRM · 3 publications · 718 citations

    3

    h-index

1–5