Constituency-to-dependency Conversion

Constituency-To-Dependency Conversion is a computational method in natural language processing that transforms syntactic structures from constituency grammars into corresponding dependency representations by identifying hierarchical head-dependent relationships implicit in phrase structure trees.

31

Publications

1.3K

Citations

83

Authors

35

Institutions

Publications per year

2017–2026

4

Authors

83

  1. CB
    Cristina Bosco

    University of Turin, Italy

    3 publications · 119 citations

    3

    h-index

  2. RB
    Rajesh Bhatt

    University of Massachusetts Amherst, United States

    2 publications · 44 citations

    2

    h-index

  3. OR
    Owen Rambow

    Columbia University, United States

    2 publications · 44 citations

    2

    h-index

  4. AM
    Alessandro Mazzei

    University of Turin, Italy

    2 publications · 44 citations

    2

    h-index

  5. DM
    Dipti Misra Sharma

    International Institute of Information Technology, Hyderabad, India

    2 publications · 49 citations

    2

    h-index

1–5 of 83

Venues

  1. Arrow@dit (Dublin Institute of Technology)

    Repository · 2 publications · 37 citations

    2

    h-index

  2. Computational Linguistics

    1 publications · 47 citations

    1

    h-index

  3. Cognitive Linguistics

    1 publications · 308 citations

    1

    h-index

  4. Redalyc (Universidad Autónoma del Estado de México)

    Repository · 1 publications · 26 citations

    1

    h-index

  5. DSpace repository (University of Tartu)

    Repository · 1 publications · 14 citations

    1

    h-index

1–5