Paper: Bayesian Nets For Syntactic Categorization Of Novel Words

ACL ID N03-2027
Title Bayesian Nets For Syntactic Categorization Of Novel Words
Venue Human Language Technologies
Session Short Paper
Year 2003
Authors

This paper presents an application of a Dynamic Bayesian Network (DBN) to the task of assigning Part-of-Speech (PoS) tags to novel text. This task is particularly challenging for non-standard corpora, such as Internet lingo, where a large pro- portion of words are unknown. Previous work reveals that PoS tags depend on a variety of morphological and contextual features. Representing these dependencies in a DBN results into an elegant and ef- fective PoS tagger.