Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora
Anna Rumshisky, James D. Pustejovsky · 2006
Traditionally, context features used in word sense disambiguation are based on collocation statistics and use only minimal syntactic and semantic information.Corpus Pattern Analysis is a technique for producing knowledge-rich context features that capture sense distinctions.It involves (1) identifying sense-carrying context patterns and (2) using the derived context features to discriminate between the unseen instances.Both stages require manual seeding.In this paper, we show how to automate inducing sense-discriminating context features from a sense-tagged corpus.