Parser Adaptation

Parser Adaptation is a syntactic parsing methodology that systematically modifies a pre-existing parser’s parameters, architecture, or training regime to enhance its performance on a target domain or language, thereby distinguishing it from general-purpose parsing approaches by its focused adaptability to specific linguistic or contextual shifts.

174

Publications

9.2K

Citations

434

Authors

173

Institutions

Publications per year

2017–2026

33

Authors

434

  1. SC
    Stephen Clark

    University of Cambridge, United Kingdom

    6 publications · 241 citations

    6

    h-index

  2. JT
    Jun’ichi Tsujii

    The University of Tokyo, Japan

    4 publications · 308 citations

    4

    h-index

  3. JV
    Josef van Genabith

    Dublin City University, Ireland

    4 publications · 80 citations

    4

    h-index

  4. RM
    Ryan McDonald

    Google (United States), United States

    4 publications · 2K citations

    4

    h-index

  5. UH
    Ulf Hermjakob

    University of Southern California, United States

    3 publications · 230 citations

    3

    h-index

1–5 of 434

Venues

  1. arXiv (Cornell University)

    Repository · 6 publications · 99 citations

    6

    h-index

  2. Computational Linguistics

    4 publications · 158 citations

    4

    h-index

  3. 3

    h-index

  4. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 3 publications · 70 citations

    3

    h-index

  5. ACM SIGPLAN Notices

    2 publications · 59 citations

    2

    h-index

1–5