Analysis and classification of cooperative and competitive dialogs

Uwe D. Reichel; Nina Pörner; Dianne Nowack; Jennifer Cole

Analysis and classification of cooperative and competitive dialogs

Uwe D. Reichel, Nina Pörner, Dianne Nowack, Jennifer Cole

Linguistics

Research output: Contribution to journal › Conference article › peer-review

Abstract

Cooperative and competitive game dialogs are comparatively examined with respect to temporal, basic text-based, and dialog act characteristics. The condition-specific speaker strategies are amongst others well reflected in distinct dialog act probability distributions, which are discussed in the context of the Gricean Cooperative Principle and of Relevance Theory. Based on the extracted features, we trained Bayes classifiers and support vector machines to predict the dialog condition, that yielded accuracies from 90 to 100%. Taken together the simplicity of the condition classification task and its probabilistic expressiveness for dialog acts suggests a two-stage classification of condition and dialog acts.

Original language	English (US)
Pages (from-to)	3056-3060
Number of pages	5
Journal	Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH
Volume	2015-January
State	Published - Jan 1 2015
Event	16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015 - Dresden, Germany Duration: Sep 6 2015 → Sep 10 2015

Keywords

Cooperative principle
Dialog acts
Gricean maxims
Machine learning

ASJC Scopus subject areas

Language and Linguistics
Human-Computer Interaction
Signal Processing
Software
Modeling and Simulation

Cite this

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abstract = "Cooperative and competitive game dialogs are comparatively examined with respect to temporal, basic text-based, and dialog act characteristics. The condition-specific speaker strategies are amongst others well reflected in distinct dialog act probability distributions, which are discussed in the context of the Gricean Cooperative Principle and of Relevance Theory. Based on the extracted features, we trained Bayes classifiers and support vector machines to predict the dialog condition, that yielded accuracies from 90 to 100%. Taken together the simplicity of the condition classification task and its probabilistic expressiveness for dialog acts suggests a two-stage classification of condition and dialog acts.",

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AU - Reichel, Uwe D.

AU - Pörner, Nina

AU - Nowack, Dianne

AU - Cole, Jennifer

PY - 2015/1/1

Y1 - 2015/1/1

N2 - Cooperative and competitive game dialogs are comparatively examined with respect to temporal, basic text-based, and dialog act characteristics. The condition-specific speaker strategies are amongst others well reflected in distinct dialog act probability distributions, which are discussed in the context of the Gricean Cooperative Principle and of Relevance Theory. Based on the extracted features, we trained Bayes classifiers and support vector machines to predict the dialog condition, that yielded accuracies from 90 to 100%. Taken together the simplicity of the condition classification task and its probabilistic expressiveness for dialog acts suggests a two-stage classification of condition and dialog acts.

AB - Cooperative and competitive game dialogs are comparatively examined with respect to temporal, basic text-based, and dialog act characteristics. The condition-specific speaker strategies are amongst others well reflected in distinct dialog act probability distributions, which are discussed in the context of the Gricean Cooperative Principle and of Relevance Theory. Based on the extracted features, we trained Bayes classifiers and support vector machines to predict the dialog condition, that yielded accuracies from 90 to 100%. Taken together the simplicity of the condition classification task and its probabilistic expressiveness for dialog acts suggests a two-stage classification of condition and dialog acts.

KW - Cooperative principle

KW - Dialog acts

KW - Gricean maxims

KW - Machine learning

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M3 - Conference article

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JO - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

JF - Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH

T2 - 16th Annual Conference of the International Speech Communication Association, INTERSPEECH 2015

Y2 - 6 September 2015 through 10 September 2015

ER -

Analysis and classification of cooperative and competitive dialogs

Abstract

Keywords

ASJC Scopus subject areas

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