LREC 2006 - Proceedings sorted by papers

Title	Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora
Authors	A. Rumshisky, J. Pustejovsky
Abstract	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 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.
Keywords
Full paper	Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora

Title

Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora

Authors

A. Rumshisky, J. Pustejovsky

Abstract

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 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.

Keywords

Full paper

Inducing Sense-Discriminating Context Patterns from Sense-Tagged Corpora