Paper: Guessing Parts-Of-Speech Of Unknown Words Using Global Information

ACL ID P06-1089
Title Guessing Parts-Of-Speech Of Unknown Words Using Global Information
Venue Annual Meeting of the Association of Computational Linguistics
Session Main Conference
Year 2006
Authors

In this paper, we present a method for guessing POS tags of unknown words us- ing local and global information. Al- though many existing methods use only local information (i.e. limited window size or intra-sentential features), global in- formation (extra-sentential features) pro- vides valuable clues for predicting POS tags of unknown words. We propose a probabilistic model for POS guessing of unknown words using global information as well as local information, and estimate its parameters using Gibbs sampling. We also attempt to apply the model to semi- supervised learning, and conduct experi- ments on multiple corpora.