Named Entity Features

Named Entity Features is a text feature engineering technique that specifically encodes the presence, type, and position of named entities—such as persons, organizations, and locations—within a textual instance to enhance downstream natural language processing tasks.

91

Publications

6.8K

Citations

280

Authors

119

Institutions

Publications per year

2017–2026

38

Authors

280

  1. AE
    Asif Ekbal

    Indian Institute of Technology Patna, India

    4 publications · 163 citations

    4

    h-index

  2. UK
    Utpal Kumar Sikdar

    Indian Institute of Technology Patna, India

    2 publications · 28 citations

    2

    h-index

  3. WW
    William W. Cohen

    Carnegie Mellon University, United States

    2 publications · 386 citations

    2

    h-index

  4. HL
    Hongfei Lin

    Dalian University of Technology, China

    2 publications · 63 citations

    2

    h-index

  5. VY
    Vikas Yadav

    University of Arizona, United States

    2 publications · 484 citations

    2

    h-index

1–5 of 280

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 534 citations

    5

    h-index

  2. International Conference on Computational Linguistics

    Conference · 3 publications · 43 citations

    3

    h-index

  3. IEEE Access

    3 publications · 60 citations

    3

    h-index

  4. Expert Systems with Applications

    2 publications · 61 citations

    2

    h-index

  5. Information Processing & Management

    2 publications · 60 citations

    2

    h-index

1–5