Abstract
This paper describes the Duluth systems that participated in Task 15 of SemEval 2015. The goal of the task was to automatically construct dictionary entries (via a series of three subtasks). Our systems participated in subtask 2, which involved automatically clustering the contexts in which a target word occurs into its different senses. Our results are consistent with previous word sense induction and discrimination findings, where it proves difficult to beat a baseline algorithm that assigns all instances of a target word to a single sense. However, our method of predicting the number of senses automatically fared quite well.
| Original language | English (US) |
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| Title of host publication | SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics |
| Subtitle of host publication | Human Language Technologies, NAACL-HLT 2015 - Proceedings |
| Editors | Preslav Nakov, Torsten Zesch, Daniel Cer, David Jurgens |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 438-442 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781941643402 |
| DOIs | |
| State | Published - 2015 |
| Event | 9th International Workshop on Semantic Evaluation, SemEval 2015 - Denver, United States Duration: Jun 4 2015 → Jun 5 2015 |
Publication series
| Name | SemEval 2015 - 9th International Workshop on Semantic Evaluation, co-located with the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2015 - Proceedings |
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Conference
| Conference | 9th International Workshop on Semantic Evaluation, SemEval 2015 |
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| Country/Territory | United States |
| City | Denver |
| Period | 6/4/15 → 6/5/15 |
Bibliographical note
Publisher Copyright:© 2015 Association for Computational Linguistics