Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units

Jun Hu; Rebecca J. Passonneau; Owen Rambow

Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units

Jun Hu, Rebecca J. Passonneau, Owen Rambow

Computer Science and Engineering

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

15 Scopus citations

Abstract

We present a dialogue annotation scheme for both spoken and written interaction, and use it in a telephone transaction corpus and an email corpus. We train classifiers, comparing regular SVM and structured SVM against a heuristic baseline. We provide a novel application of structured SVM to predicting relations between instance pairs.

Original language	English (US)
Title of host publication	Proceedings of the SIGDIAL 2009 Conference
Subtitle of host publication	10th Annual Meeting of the Special Interest Group on Discourse and Dialogue
Pages	357-366
Number of pages	10
State	Published - 2009
Event	10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009 - London, United Kingdom Duration: Sep 11 2009 → Sep 12 2009

Publication series

Name	Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue

Other

Other	10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009
Country/Territory	United Kingdom
City	London
Period	9/11/09 → 9/12/09

All Science Journal Classification (ASJC) codes

Computer Graphics and Computer-Aided Design
Computer Vision and Pattern Recognition
Human-Computer Interaction
Modeling and Simulation

Cite this

Hu, J., Passonneau, R. J., & Rambow, O. (2009). Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units. In Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue (pp. 357-366). (Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue).

Hu, Jun ; Passonneau, Rebecca J. ; Rambow, Owen. / Contrasting the interaction structure of an email and a telephone corpus : A machine learning approach to annotation of dialogue function units. Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2009. pp. 357-366 (Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue).

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title = "Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units",

abstract = "We present a dialogue annotation scheme for both spoken and written interaction, and use it in a telephone transaction corpus and an email corpus. We train classifiers, comparing regular SVM and structured SVM against a heuristic baseline. We provide a novel application of structured SVM to predicting relations between instance pairs.",

author = "Jun Hu and Passonneau, {Rebecca J.} and Owen Rambow",

year = "2009",

language = "English (US)",

isbn = "9781932432640",

series = "Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue",

pages = "357--366",

booktitle = "Proceedings of the SIGDIAL 2009 Conference",

note = "10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009 ; Conference date: 11-09-2009 Through 12-09-2009",

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Hu, J, Passonneau, RJ & Rambow, O 2009, Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units. in Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, pp. 357-366, 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue, SIGDIAL 2009, London, United Kingdom, 9/11/09.

Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units. / Hu, Jun; Passonneau, Rebecca J.; Rambow, Owen.
Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2009. p. 357-366 (Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue).

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

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AB - We present a dialogue annotation scheme for both spoken and written interaction, and use it in a telephone transaction corpus and an email corpus. We train classifiers, comparing regular SVM and structured SVM against a heuristic baseline. We provide a novel application of structured SVM to predicting relations between instance pairs.

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Hu J, Passonneau RJ, Rambow O. Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units. In Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue. 2009. p. 357-366. (Proceedings of the SIGDIAL 2009 Conference: 10th Annual Meeting of the Special Interest Group on Discourse and Dialogue).

Contrasting the interaction structure of an email and a telephone corpus: A machine learning approach to annotation of dialogue function units

Abstract

Publication series

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All Science Journal Classification (ASJC) codes

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