The Effect of Different Context Representations on Word Sense Discrimination in Biomedical Texts (Pedersen) - To Appear in the Proceedings of the 1st ACM International Health Informatics Symposium, November 2010, Arlington, VA
Improved Unsupervised Name Discrimination with Very Wide Bigrams and Automatic Cluster Stopping (Pedersen) - Appears in the Proceedings of the Tenth International Conference on Intelligent Text Processing and Computational Linguistics, March 1-7, 2009, pp. 294-305, Mexico City
Determining Smoker Status using Supervised and Unsupervised Learning with Lexical Features (Pedersen) - Appears in the Working Notes of the i2b2 Workshop on Challenges in Natural Language Processing for Clinical Data, Nov 10-11, 2006, Washington, DC.
Unsupervised Corpus Based Methods for WSD (Pedersen), In Agirre, E. and Edmonds, P. (Editors), Word Sense Disambiguation : Algorithms and Applications, June 2006, pp. 133-166, Springer.
Automatic Cluster Stopping with Criterion Functions and the Gap Statistic (Pedersen and Kulkarni), Appears in the Proceedings of the Demonstration Session of the Human Language Technology Conference and the Sixth Annual Meeting of the North American Chapter of the Association for Computational Linguistics, pp. 276-279, June 6, 2006, New York City.