Automatic Word Sense Discrimination

@article{Schtze1998AutomaticWS,
  title={Automatic Word Sense Discrimination},
  author={Hinrich Sch{\"u}tze},
  journal={Computational Linguistics},
  year={1998},
  volume={24},
  pages={97-123}
}
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
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