Phrase Boundary Detection

Phrase Boundary Detection is a sequence labeling task in natural language processing that identifies the boundaries of syntactic phrases within a sentence by classifying each word or token as marking the beginning, end, or interior of a phrase.

37

Publications

1.5K

Citations

112

Authors

56

Institutions

Publications per year

2017–2026

5

Authors

112

  1. CN
    Christiane Neuhaus

    Max Planck Institute for Human Cognitive and Brain Sciences, Germany

    3 publications · 248 citations

    3

    h-index

  2. AD
    Angela D. Friederici

    Max Planck Institute for Human Cognitive and Brain Sciences, Germany

    3 publications · 248 citations

    3

    h-index

  3. TR
    Thomas R. Knösche

    Max Planck Institute for Human Cognitive and Brain Sciences, Germany

    3 publications · 248 citations

    3

    h-index

  4. KC
    Ken Chen

    The University of Texas MD Anderson Cancer Center, United States

    2 publications · 96 citations

    2

    h-index

  5. MH
    Mark Hasegawa‐Johnson

    University of Illinois Urbana-Champaign, United States

    2 publications · 96 citations

    2

    h-index

1–5 of 112

Venues

  1. PLoS ONE

    2 publications · 55 citations

    2

    h-index

  2. Journal of Cognitive Neuroscience

    2 publications · 115 citations

    2

    h-index

  3. Human Brain Mapping

    1 publications · 133 citations

    1

    h-index

  4. Scientific Reports

    1 publications · 24 citations

    1

    h-index

  5. Language and Speech

    1 publications · 51 citations

    1

    h-index

1–5