Abstract
Two systems from the University of Minnesota, Duluth participated in various SENSEVAL-3 lexical sample tasks. The supervised learning system is based on lexical features and bagged decision trees. It participated in lexical sample tasks for the English, Spanish, Catalan, Basque, Romanian and MultiLingual English-Hindi data. The unsupervised system uses measures of semantic relatedness to find the sense of the target word that is most related to the senses of its neighbors. It participated in the English lexical sample task.
| Original language | English (US) |
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| Pages | 203-208 |
| Number of pages | 6 |
| State | Published - 2004 |
| Event | 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, SENSEVAL@ACL 2004 - Barcelona, Spain Duration: Jul 25 2004 → Jul 26 2004 |
Conference
| Conference | 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text, SENSEVAL@ACL 2004 |
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| Country/Territory | Spain |
| City | Barcelona |
| Period | 7/25/04 → 7/26/04 |
Bibliographical note
Funding Information:This research has been partially supported by a National Science Foundation Faculty Early CAREER Development award (#0092784), and by two Grants–in–Aid of Research, Artistry and Scholarship from the Office of the Vice President for Research and the Dean of the Graduate School of the University of Minnesota.
Publisher Copyright:
© 2004 Proceedings of the SENSEVAL@ACL 2004: 3rd International Workshop on the Evaluation of Systems for the Semantic Analysis of Text - Held in cooperation with ACL 2004. All rights reserved.