Guessing parts-of-speech of unknown words using global information

Tetsuji Nakagawa, Yuji Matsumoto
2006 Proceedings of the 21st International Conference on Computational Linguistics and the 44th annual meeting of the ACL - ACL '06  
In this paper, we present a method for guessing POS tags of unknown words using local and global information. Although many existing methods use only local information (i.e. limited window size or intra-sentential features), global information (extra-sentential features) provides 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
more » ... ameters using Gibbs sampling. We also attempt to apply the model to semisupervised learning, and conduct experiments on multiple corpora.
doi:10.3115/1220175.1220264 dblp:conf/acl/NakagawaM06 fatcat:pufmi4tjv5alpkcrfup5z25564