Extracting social meaning: Identifying interactional style in spoken conversation

Dan Jurafsky, Rajesh Ranganath, Dan McFarland

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Automatically extracting social meaning and intention from spoken dialogue is an important task for dialogue systems and social computing. We describe a system for detecting elements of interactional style: whether a speaker is awkward, friendly, or flirtatious. We create and use a new spoken corpus of 9914-minute speed-dates. Participants rated their interlocutors for these elements of style. Using rich dialogue, lexical, and prosodic features, we are able to detect flirtatious, awkward, and friendly styles in noisy natural conversational data with up to 75% accuracy, compared to a 50% baseline. We describe simple ways to extract relatively rich dialogue features, and analyze which features performed similarly for men and women and which were gender-specific.

Original languageEnglish (US)
Title of host publicationNAACL HLT 2009 - Human Language Technologies
Subtitle of host publicationThe 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference
Pages638-646
Number of pages9
StatePublished - 2009
EventHuman Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009 - Boulder, CO, United States
Duration: May 31 2009Jun 5 2009

Publication series

NameNAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference

Other

OtherHuman Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, NAACL HLT 2009
CountryUnited States
CityBoulder, CO
Period5/31/096/5/09

ASJC Scopus subject areas

  • Language and Linguistics
  • Social Sciences (miscellaneous)

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    Jurafsky, D., Ranganath, R., & McFarland, D. (2009). Extracting social meaning: Identifying interactional style in spoken conversation. In NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference (pp. 638-646). (NAACL HLT 2009 - Human Language Technologies: The 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Conference).