Full-Length Peer-Reviewed Publications
The following publications are at least five pages in length and have
been through at least one round of peer--review.
2012
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Rule-based and Lightly Supervised Methods to Predict Emotions in Suicide Notes (Pedersen) -
Biomedical Informatics Insights 2012:5 (Suppl. 1) pp 185 - 193.
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Semantic Relatedness Study Using Second Order Co-occurrence Vectors Computed from
Biomedical Corpora, UMLS and WordNet (Liu, McInnes, Pedersen, Melton-Meaux, and Pakhomov) -
Appears in the Proceedings of the 2nd ACM SIGHIT International Health Informatics
Symposium, January 28-30, 2012, pp. 363 - 371, Miami, FL
2011
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Knowledge-based Method for Determining the Meaning of Ambiguous Biomedical Terms
Using Information Content Measures of Similarity (McInnes, Pedersen, Liu, Melton,
and Pakhomov) - Appears in the Proceedings of the Annual Symposium of the
American Medical Informatics Association, October 22-26, 2011, pp. 895 - 904,
Washington, DC.
-
Using Second-order
Vectors in a Knowledge-based Method for Acronym Disambiguation
(McInnes, Pedersen, Liu, Pakhomov, and Melton) - Appears in the Proceedings
of the Fifteenth Conference on Computational Natural Language Learning
(CoNLL 2011), June 23-24, 2011, pp. 145 - 153, Portland, Oregon.
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Towards a Framework for Developing Semantic Relatedness Reference
Standards (Pakhomov, Pedersen, McInnes, Melton, Ruggieri, and
Chute) -
Journal of Biomedical Informatics, 44(2), 251-265, April 2011.
[Data]
2010
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The Effect of Different Context Representations on Word Sense
Discrimination in Biomedical Texts (Pedersen) - Appears in the
Proceedings of the 1st ACM International Health Informatics Symposium,
November 11 - 12, 2010, pp. 56 - 65, Arlington, VA. [acceptance rate 17%]
-
Semantic Similarity and Relatedness between Clinical Terms : An
Experimental Study
(Pakhomov, McInnes, Adam, Liu, Pedersen, and Melton) - Appears in
the Proceedings of the Annual Symposium of the American Medical
Informatics Association, November 13-17 2010, pp. 572 - 576, Washington, DC.
[acceptance rate 50%]
2009
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UMLS-Interface and UMLS-Similarity : Open Source Software for Measuring
Paths and Semantic Similarity
(McInnes, Pedersen, and Pakhomov) - Appears in the Proceedings of the
Annual Symposium of the American Medical Informatics Association, Nov
14-18, 2009, pp. 431-435, San Francisco, CA. [acceptance rate 50%]
-
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.
[acceptance rate 26%]
2008
2007
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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%]
-
Measures of Semantic Similarity and Relatedness in the Biomedical
Domain
(Pedersen, Pakhomov, Patwardhan, and Chute),
Journal of Biomedical Informatics, 40(3), 288-299, June 2007.
[Journal Citation Reports Index Factor 2006: 2.346]
-
Determining the Syntactic Structure of Medical Terms in Clinical Notes
(McInnes, Pedersen, and Pakhomov) - Appears in the Proceedings of
BioNLP 2007, June 29, 2007, pp. 9-16, Prague, Czech Republic.
[acceptance rate 29%]
[ppt]
-
Unsupervised Discrimination of Person Names in Web Contexts
(Pedersen and Kulkarni) - Appears in the Proceedings of the Eighth
International Conference on Intelligent Text Processing and
Computational Linguistics, pp. 299-310, February 18-24, 2007, Mexico
City. [acceptance rate 29%]
Download the
data used in this paper (Kulkarni name corpus).
2006
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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]
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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.
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An Unsupervised Language Independent Method of Name Discrimination Using
Second Order Co-occurrence Features (Pedersen, Kulkarni, Angheluta,
Kozareva, and Solorio) - Appears in the Proceedings of the Seventh
International Conference on Intelligent Text Processing and
Computational Linguistics,
pp. 208-222,
February 19-25, 2006, Mexico City. [acceptance rate 30%]
Download the Bulgarian, English, Spanish, and Romanian
data and
stoplists used in this paper.
2005
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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%]
-
Name Discrimination and Email Clustering using Unsupervised Clustering
and Labeling of Similar Contexts (Kulkarni
and Pedersen) - Appears in the Proceedings of the Second Indian
International Conference on Artificial Intelligence,
pp. 703-722, December 20-22, 2005,
Pune, India. [acceptance rate 35%] Download the data
used in this paper.
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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%]
-
Name
Discrimination by Clustering Similar Contexts (Pedersen, Purandare,
and Kulkarni) - Appears in the Proceedings of the Sixth International
Conference on Intelligent Text Processing and Computational
Linguistics, pp. 220-231, February 13-19, 2005, Mexico City. [acceptance
rate 37%]
Download the data
used in this paper.
2004
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Word Sense Discrimination by Clustering Contexts in Vector and Similarity
Spaces (Purandare and Pedersen) - Appears in the Proceedings of the
Conference on Computational Natural Language Learning (CoNLL),
pp. 41-48, May 6-7, 2004, Boston, MA. [acceptance rate 48%]
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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
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Guaranteed Pre-tagging for the Brill Tagger
(Mohammad and Pedersen) - Appears in the Proceedings of the Fourth
International Conference on Intelligent Text Processing and Computational
Linguistics, pp. 148-157,
February 17-21, 2003, Mexico City. [acceptance rate 46%]
2002
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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%]
2001
2000
1997
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Distinguishing Word Senses in Untagged Text
(Pedersen & Bruce) - Appears in the Proceedings of the Second
Conference on Empirical Methods in Natural Language Processing
(EMNLP-2),
pp. 197-207,
August 1-2, 1997, Providence, RI. [acceptance rate 35%]
1996
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Significant Lexical Relationships
(Pedersen, Kayaalp, & Bruce) - Appears in the Proceedings of the
Thirteenth National Conference on Artificial Intelligence (AAAI-96),
pp. 455-460, August 4-8, 1996, Portland, OR. [acceptance rate 30%]
-
The Measure of a Model
(Bruce, Wiebe, & Pedersen) - Appears in the Proceedings of the
Conference on Empirical Methods in Natural Language Processing,
pp. 101-112, May 17-18, 1996, Philadelphia, PA. [acceptance rate 30%]
By:
Ted Pedersen
- tpederse AT d umn edu