Word sense disambiguation using decomposable models

@inproceedings{citeulike:2732881, abstract = {Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize the interdependencies among multiple contextual features. In this paper, a different approach to formulating a probabilistic model is presented along with a case study of the performance of models produced in this manner for the disambiguation of the noun interest. We describe a method for formulating ...}, address = {Las Cruces, US}, author = {Bruce, Rebecca and Wiebe, Janyce }, booktitle = {Proceedings of the ACL-94, 32nd Annual Meeting of the Association for Computational Linguistics}, citeulike-article-id = {2732881}, keywords = {disambiguation}, pages = {139--145}, posted-at = {2008-04-29 10:07:25}, priority = {2}, title = {Word sense disambiguation using decomposable models}, url = {http://citeseer.ist.psu.edu/bruce94wordsense.html}, year = {1994} }

TY - CONF ID - citeulike:2732881 L3 - citeulike-article-id:2732881 TI - Word sense disambiguation using decomposable models T2 - Proceedings of the ACL-94, 32nd Annual Meeting of the Association for Computational Linguistics SP - 139 EP - 145 AD - Las Cruces, US N2 - Most probabilistic classifiers used for word-sense disambiguation have either been based on only one contextual feature or have used a model that is simply assumed to characterize the interdependencies among multiple contextual features. In this paper, a different approach to formulating a probabilistic model is presented along with a case study of the performance of models produced in this manner for the disambiguation of the noun interest. We describe a method for formulating ... KW - disambiguation AU - Bruce, Rebecca AU - Wiebe, Janyce PY - 1994/// UR - http://citeseer.ist.psu.edu/bruce94wordsense.html ER -