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Predicting overt display of power in written dialogs

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

42 Scopus citations

Abstract

We analyze overt displays of power (ODPs) in written dialogs. We present an email corpus with utterances annotated for ODP and present a supervised learning system to predict it. We obtain a best cross validation F-measure of 65.8 using gold dialog act features and 55.6 without using them.

Original languageEnglish
Title of host publicationProceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics
Subtitle of host publicationHuman Language Technologies
PublisherAssociation for Computational Linguistics (ACL)
Pages518-522
Number of pages5
ISBN (Electronic)1937284204, 9781937284206
StatePublished - 2012
Event2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2012 - Montreal, Canada
Duration: Jun 3 2012Jun 8 2012

Publication series

NameNAACL HLT 2012 - 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Proceedings of the Conference

Conference

Conference2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL HLT 2012
Country/TerritoryCanada
CityMontreal
Period06/3/1206/8/12

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