Textual Context Clues

Textual Context Clues is a word learning strategy that involves inferring the meaning of an unknown word from the surrounding linguistic evidence within a written passage, distinguished from other strategies by its reliance on syntactic, semantic, and pragmatic cues in the immediate text.

55

Publications

3.8K

Citations

203

Authors

81

Institutions

Publications per year

2017–2026

30

Authors

203

  1. TG
    Tianyu Gao

    Tsinghua University, China

    2 publications · 203 citations

    2

    h-index

  2. DR
    Domenic Rosati

    Murray State University, United States

    2 publications · 161 citations

    2

    h-index

  3. PM
    Paul M. Thompson

    University of California, Los Angeles, United States

    2 publications · 158 citations

    2

    h-index

  4. MS
    Maosong Sun

    Tsinghua University, China

    2 publications · 203 citations

    2

    h-index

  5. ZG
    Zhe Gan

    Microsoft Research (United Kingdom), United Kingdom

    2 publications · 134 citations

    2

    h-index

1–5 of 203

Venues

  1. arXiv (Cornell University)

    Repository · 5 publications · 171 citations

    5

    h-index

  2. Proceedings of the AAAI Conference on Artificial Intelligence

    Conference · 4 publications · 287 citations

    4

    h-index

  3. BMC Bioinformatics

    2 publications · 158 citations

    2

    h-index

  4. Journal of Anthropological Archaeology

    1 publications · 21 citations

    1

    h-index

  5. Quantitative Science Studies

    1 publications · 138 citations

    1

    h-index

1–5