Duluth: Word Sense Discrimination in the Service of Lexicography

Ted Pedersen

Duluth: Word Sense Discrimination in the Service of Lexicography

Ted Pedersen

Computer Science (Duluth)

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

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)
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
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

Conference

Conference	9th International Workshop on Semantic Evaluation, SemEval 2015
Country/Territory	United States
City	Denver
Period	6/4/15 → 6/5/15

Bibliographical note

Funding Information:
I would like to thank Bridget McInnes for her help in understanding the task, and for very useful brainstorming discussions.

Publisher Copyright:
© 2015 Association for Computational Linguistics

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Pedersen, T. (2015). Duluth: Word Sense Discrimination in the Service of Lexicography. In P. Nakov, T. Zesch, D. Cer, & D. Jurgens (Eds.), 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 (pp. 438-442). (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). Association for Computational Linguistics (ACL).

Duluth: Word Sense Discrimination in the Service of Lexicography. / Pedersen, Ted.
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. ed. / Preslav Nakov; Torsten Zesch; Daniel Cer; David Jurgens. Association for Computational Linguistics (ACL), 2015. p. 438-442 (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).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Pedersen, T 2015, Duluth: Word Sense Discrimination in the Service of Lexicography. in P Nakov, T Zesch, D Cer & D Jurgens (eds), 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. 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, Association for Computational Linguistics (ACL), pp. 438-442, 9th International Workshop on Semantic Evaluation, SemEval 2015, Denver, United States, 6/4/15.

Pedersen T. Duluth: Word Sense Discrimination in the Service of Lexicography. In Nakov P, Zesch T, Cer D, Jurgens D, editors, 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. Association for Computational Linguistics (ACL). 2015. p. 438-442. (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).

Pedersen, Ted. / Duluth : Word Sense Discrimination in the Service of Lexicography. 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. editor / Preslav Nakov ; Torsten Zesch ; Daniel Cer ; David Jurgens. Association for Computational Linguistics (ACL), 2015. pp. 438-442 (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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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.",

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Duluth: Word Sense Discrimination in the Service of Lexicography

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