Automatic Word Sense Discrimination

  title={Automatic Word Sense Discrimination},
  author={Hinrich Sch{\"u}tze},
  journal={Computational Linguistics},
This paper presents context-group discrimination, a disambiguation algorithm based on clustering. Senses are interpreted as groups (or clusters) of similar contexts of the ambiguous word. Words, contexts, and senses are represented in Word Space, a high-dimensional, real-valued space in which closeness corresponds to semantic similarity. Similarity in Word Space is based on second-order co-occurrence: two tokens (or contexts) of the ambiguous word are assigned to the same sense cluster if the… CONTINUE READING
Highly Influential
This paper has highly influenced 96 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 1,163 citations. REVIEW CITATIONS


Publications citing this paper.
Showing 1-10 of 758 extracted citations

POP ∗ and Semantic Labelling using SAT............ 7

Kata Balogh, Martin Avanzini, +3 authors Maren Schierloh
View 10 Excerpts
Highly Influenced

1,163 Citations

Citations per Year
Semantic Scholar estimates that this publication has 1,163 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…