On the limited memory BFGS method for large scale optimization
Mathematical Programming: Series A and B
Estimating lexical priors for low-frequency morphologically ambiguous forms
Computational Linguistics
A maximum entropy approach to natural language processing
Computational Linguistics
Optimal Bayesian Estimators For Image Segmentation and Surface Reconstruction
Optimal Bayesian Estimators For Image Segmentation and Surface Reconstruction
Information Theory, Inference & Learning Algorithms
Information Theory, Inference & Learning Algorithms
Automatic rule induction for unknown-word guessing
Computational Linguistics
POS disambiguation and unknown word guessing with decision trees
EACL '99 Proceedings of the ninth conference on European chapter of the Association for Computational Linguistics
Unsupervised word sense disambiguation rivaling supervised methods
ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics
Word extraction from corpora and its part-of-speech estimation using distributional analysis
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
ICML '05 Proceedings of the 22nd international conference on Machine learning
Extracting semantic orientations of words using spin model
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Incorporating non-local information into information extraction systems by Gibbs sampling
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
A method for automatic POS guessing of Chinese unknown words
COLING '08 Proceedings of the 22nd International Conference on Computational Linguistics - Volume 1
Online acquisition of Japanese unknown morphemes using morphological constraints
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Semantic classification of automatically acquired nouns using lexico-syntactic clues
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
A multi-domain web-based algorithm for POS tagging of unknown words
COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Construction of wakamono kotoba emotion dictionary and its application
CICLing'11 Proceedings of the 12th international conference on Computational linguistics and intelligent text processing - Volume Part I
Non-parametric bayesian segmentation of Japanese noun phrases
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Fusion of multiple features and supervised learning for Chinese OOV term detection and POS guessing
IJCAI'11 Proceedings of the Twenty-Second international joint conference on Artificial Intelligence - Volume Volume Three
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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 sampling. We also attempt to apply the model to semi-supervised learning, and conduct experiments on multiple corpora.