Predominant Word Sense Heuristic

A Predominant Word Sense Heuristic is a Heuristic for the Word Sense Classification Task that selects the most Frequent Word Sense from a Word Sense Distribution.

• See: Word Sense Distribution.

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References

2004

• (McCarthy et al., 2004) ⇒ Diana McCarthy, Rob Koeling, Julie Weeds, and John Carroll. (2004). “Finding Predominant Senses in Untagged Text.” In: Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics (ACL 2004).
  • In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The problem with using the predominant, or first sense heuristic, aside from the fact that it does not take surrounding context into account, is that it assumes some quantity of hand-tagged data.

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