Improving the Quality of Minority Class Identification in Dialog Act Tagging

Adinoyi Omuya; Vinodkumar Prabhakaran; Owen Rambow

Improving the Quality of Minority Class Identification in Dialog Act Tagging

Adinoyi Omuya
, Vinodkumar Prabhakaran
, Owen Rambow

Linguistics

10gen
Columbia University

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

Abstract

We present a method of improving the performance of dialog act tagging in identifying minority classes by using per-class feature optimization and a method of choosing the class based not on confidence, but on a cascade of classifiers. We show that it gives a minority class F-measure error reduction of 22.8%, while also reducing the error for other classes and the overall error by about 10%.

Original language	English
Title of host publication	Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publication	Human Language Technologies, NAACL-HLT 2013
Editors	David Elson, Anna Kazantseva, Stan Szpakowicz
Publisher	Association for Computational Linguistics (ACL)
Pages	802-807
Number of pages	6
ISBN (Electronic)	9781937284473
State	Published - 2013
Event	2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 - Atlanta, United States Duration: Jun 14 2013 → …

Publication series

Name	Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013

Conference

Conference	2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013
Country/Territory	United States
City	Atlanta
Period	06/14/13 → …

Cite this

Omuya, A., Prabhakaran, V., & Rambow, O. (2013). Improving the Quality of Minority Class Identification in Dialog Act Tagging. In D. Elson, A. Kazantseva, & S. Szpakowicz (Eds.), Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 (pp. 802-807). (Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013). Association for Computational Linguistics (ACL).

Omuya, Adinoyi ; Prabhakaran, Vinodkumar ; Rambow, Owen. / Improving the Quality of Minority Class Identification in Dialog Act Tagging. Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013. editor / David Elson ; Anna Kazantseva ; Stan Szpakowicz. Association for Computational Linguistics (ACL), 2013. pp. 802-807 (Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013).

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title = "Improving the Quality of Minority Class Identification in Dialog Act Tagging",

abstract = "We present a method of improving the performance of dialog act tagging in identifying minority classes by using per-class feature optimization and a method of choosing the class based not on confidence, but on a cascade of classifiers. We show that it gives a minority class F-measure error reduction of 22.8\%, while also reducing the error for other classes and the overall error by about 10\%.",

author = "Adinoyi Omuya and Vinodkumar Prabhakaran and Owen Rambow",

note = "Publisher Copyright: {\textcopyright} 2013 Association for Computational Linguistics; 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013 ; Conference date: 14-06-2013",

year = "2013",

language = "English",

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publisher = "Association for Computational Linguistics (ACL)",

pages = "802--807",

editor = "David Elson and Anna Kazantseva and Stan Szpakowicz",

booktitle = "Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics",

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Omuya, A, Prabhakaran, V & Rambow, O 2013, Improving the Quality of Minority Class Identification in Dialog Act Tagging. in D Elson, A Kazantseva & S Szpakowicz (eds), Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013. Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013, Association for Computational Linguistics (ACL), pp. 802-807, 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013, Atlanta, United States, 06/14/13.

Improving the Quality of Minority Class Identification in Dialog Act Tagging. / Omuya, Adinoyi; Prabhakaran, Vinodkumar; Rambow, Owen.
Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013. ed. / David Elson; Anna Kazantseva; Stan Szpakowicz. Association for Computational Linguistics (ACL), 2013. p. 802-807 (Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013).

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

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AU - Rambow, Owen

PY - 2013

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AB - We present a method of improving the performance of dialog act tagging in identifying minority classes by using per-class feature optimization and a method of choosing the class based not on confidence, but on a cascade of classifiers. We show that it gives a minority class F-measure error reduction of 22.8%, while also reducing the error for other classes and the overall error by about 10%.

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M3 - Conference contribution

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Omuya A, Prabhakaran V, Rambow O. Improving the Quality of Minority Class Identification in Dialog Act Tagging. In Elson D, Kazantseva A, Szpakowicz S, editors, Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013. Association for Computational Linguistics (ACL). 2013. p. 802-807. (Proceedings of the 2nd Workshop on Computational Linguistics for Literature, CLfL 2013 at the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2013).

Improving the Quality of Minority Class Identification in Dialog Act Tagging

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