Supervised Word Sense Disambiguation Publications

2007

Using UMLS Concept Unique Identifiers (CUIs) for Word Sense Disambiguation in the Biomedical Domain (McInnes, Pedersen, and Carlis) - Appears in the Proceedings of the Annual Symposium of the American Medical Informatics Association, Nov 10-14, 2007, pp. 533-537, Chicago, IL. [acceptance rate 45%]

2006

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.
A Comparative Study of Supervised Learning as Applied to Acronym Expansion in Clinical Reports (Joshi, Pakhomov, Pedersen, and Chute) - Appears in the Proceedings of the Annual Symposium of the American Medical Informatics Association, pp. 399-403, Nov 11-16, 2006, Washington, DC. [acceptance rate 41%] [ppt]
Kernel Methods for Word Sense Disambiguation and Abbreviation Expansion in the Medical Domain (Joshi) - Master of Science Thesis, Department of Computer Science, University of Minnesota, Duluth, August, 2006. [co-advised with Rich Maclin]
Kernel Methods for Word Sense Disambiguation and Acronym Expansion (Joshi, Pedersen, Maclin, and Pakhomov) - Appears in the Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1879-1880, July 19, 2006, Boston, MA. (Student Poster)
An End-to-End Supervised Target-Word Sense Disambiguation System (Joshi, Pakhomov, Pedersen, Maclin, and Chute) - Appears in the Proceedings of the Twenty-First National Conference on Artificial Intelligence, pp. 1941-1942, July 19, 2006, Boston, MA. (Intelligent System Demonstration)

2005

A Comparative Study of Support Vector Machines Applied to the Supervised Word Sense Disambiguation Problem in the Medical Domain (Joshi, Pedersen, and Maclin) - Appears in the Proceedings of the Second Indian International Conference on Artificial Intelligence, pp. 3449-3468, December 20-22, 2005, Pune, India. [acceptance rate 35%]
Abbreviation and Acronym Disambiguation in Clinical Discourse (Pakhomov, Pedersen and Chute) - Appears in the Proceedings of the Annual Symposium of the American Medical Informatics Association, pp. 589-593, October 22-26, 2005, Washington, DC. [acceptance rate 37%]

2004

The Senseval-3 Multilingual English-Hindi lexical sample task (Chklovski, Mihalcea, Pedersen, and Purandare) - Appears in the Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (Senseval-3), pp. 5-8, July 25-26, 2004, Barcelona, Spain.
The Duluth Lexical Sample Systems in Senseval-3 (Pedersen) - Appears in the Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (Senseval-3), pp. 203-208, July 25-26, 2004, Barcelona, Spain.
Complementarity of Lexical and Simple Syntactic Features: The Syntalex Approach to Senseval-3 (Mohammad and Pedersen) - Appears in the Proceedings of the Third International Workshop on the Evaluation of Systems for the Semantic Analysis of Text (Senseval-3), pp. 159-162, July 25-26, 2004, Barcelona, Spain.
Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation (Mohammad and Pedersen) - Appears in the Proceedings of the Conference on Computational Natural Language Learning (CoNLL), pp. 225-32, May 6-7, 2004, Boston, MA. [acceptance rate 48%]

2003

Combining Lexical and Syntactic Features for Supervised Word Sense Disambiguation (Mohammad) - Master of Science Thesis, Department of Computer Science, University of Minnesota, Duluth, August, 2003.

2002

Assessing System Agreement and Instance Difficulty in the Lexical Sample Tasks of Senseval-2 (Pedersen) - Appears in the Proceedings of the Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, pp. 40-46, July 11, 2002, Philadelphia.
Also available in postscript or from the Computation and Language E-Print Archive as #0205068
- Download the complete listing of all pairwise system comparisons. Paper only shows top 15.
- Download the complete listing with the number of systems able to disambiguate each word correctly.

Evaluating the Effectiveness of Ensembles of Decision Trees in Disambiguating Senseval Lexical Samples (Pedersen) - Appears in the Proceedings of the Workshop on Word Sense Disambiguation: Recent Successes and Future Directions, pp. 81-87, July 11, 2002, Philadelphia
Also available in postscript or from the Computation and Language E-Print Archive as #0205067

A Baseline Methodology for Word Sense Disambiguation (Pedersen) - Appears in the Proceedings of the Third International Conference on Intelligent Text Processing and Computational Linguistics, pp. 126-135, February 17-23, 2002, Mexico City. [acceptance rate 52%]
Also available in postscript

2001

Machine Learning with Lexical Features: The Duluth Approach to Senseval-2 (Pedersen) - Appears in the Proceedings of SENSEVAL-2: Second International Workshop on Evaluating Word Sense Disambiguation Systems, pp. 139-144, July 5-6, 2001, Toulouse, France
Also available in postscript or from the Computation and Language E-Print Archive as #0205069

A Decision Tree of Bigrams is an Accurate Predictor of Word Sense (Pedersen) - Appears in the Proceedings of the Second Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-01), pp. 79-86, June 2-7, 2001, Pittsburgh, PA. [acceptance rate 28%]
Also available in postscript or from the Computation and Language E-Print Archive as #0103026

Lexical Semantic Ambiguity Resolution with Bigram Based Decision Trees (Pedersen) - Appears in the Proceedings of the Second International Conference on Intelligent Text Processing and Computational Linguistics (CICLING-01), pp. 157-168, February 18-24, 2000, Mexico City. [acceptance rate 57%] [This is a preliminary version of the NAACL 2001 paper.]

2000

A Simple Approach to Building Ensembles of Naive Bayesian Classifiers for Word Sense Disambiguation (Pedersen) - Appears in the Proceedings of the First Meeting of the North American Chapter of the Association for Computational Linguistics (NAACL-00), pp. 63-369, May 1-3, 2000, Seattle, WA. [acceptance rate 26%]
Also available in postscript or from the Computation and Language E-Print Archive as #0005006 )

An Ensemble Approach to Corpus Based Word Sense Disambiguation (Pedersen) - Appears in the Proceedings of the Conference on Intelligent Text Processing and Computational Linguistics (CICLING-00), pp. 205-218, February 13-18, 2000, Mexico City. [This is a preliminary version of the NAACL 2000 paper.]

1999

Search Techniques for Learning Probabilistic Models of Word Sense Disambiguation (Pedersen) - Appears in the Working Notes of the AAAI Spring Symposium on Search Techniques for Problem Solving Under Uncertainty and Incomplete Information, pp. 107-112, March 22-24, 1999, Palo Alto, CA

1998

Learning Probabilistic Models of Word Sense Disambiguation (Pedersen) May 1998, Southern Methodist University, 195 pages (PhD Dissertation) (Also available from CMP-LG E-Print Archive as 0707.3972)

Naive Bayes as a Satisficing Model. (Pedersen) Appears in the Working Notes of the AAAI Spring Symposium on Satisficing Models, 60-67, March 1998, Palo Alto, CA.

1997

A New Supervised Learning Algorithm for Word Sense Disambiguation (Pedersen & Bruce) - Appears in the Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI-97), pp. 604-609, July 27-31, 1997, Providence, RI. [acceptance rate 36%]

Naive Mixes for Word Sense Disambiguation (Pedersen) - Appears in the Proceedings of the Fourteenth National Conference on Artificial Intelligence (AAAI-97), p. 841, July 27-31, 1997, Providence, RI (Student Poster)

Sequential Model Selection for Word Sense Disambiguation (Pedersen, Bruce & Wiebe) - Appears in the Proceedings of the Fifth Conference on Applied Natural Language Processing (ANLP-97), pp. 388-395, April 1-3, 1997, Washington, DC. [acceptance rate 32%] (Also available from CMP-LG E-Print Archive as #9702008 )

By: Ted Pedersen - tpederse AT d umn edu