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Computational linguistics / Data mining / Segmentation / Algorithm / Artificial intelligence / Text segmentation / Automatic summarization / Genre / Linguistics / Image processing / Science / Natural language processing


Participant Subjectivity and Involvement as a Basis for Discourse Segmentation John Niekrasz and Johanna Moore Human Communication Research Centre School of Informatics University of Edinburgh
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Document Date: 2010-03-12 12:39:41

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City

Norwood / Cambridge / Longman / /

Company

Cambdrige University Press / /

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Facility

University of Chicago Press / University of Edinburgh / Informatics University of Edinburgh / Linköping University / The Tema Institute / /

IndustryTerm

discourse segmentation algorithms / automatic discourse segmentation systems / topic-segmentation algorithms / publication describing algorithms / automatic algorithms / difficult processing problem / potential boundary site / intentional segmentation algorithms / automatic summarization technologies / pre-processing / /

Organization

Linköping University / Tema Institute / Johanna Moore Human Communication Research Centre School / Department of Communications Studies / University of Edinburgh / University of Chicago Press / Chicago / School of Informatics / /

Person

Adam Berger / John D. Lafferty / Peter Wiemer-Hastings / Alexander Gruenstein / Thomas Griffiths / Jacob Eisenstein / Joshua Tenenbaum / Surabhi Gupta / Michel Galley / Claire Grover / Pei-Yun Hsueh / Johanna Moore / Marti Hearst / Igor Malioutov / Dan Klein / Aravind Joshi / Wallace L. Chafe / Recent Trends / Hongyan Jing / Freddy Y. Y. Choi / Candace L. Sidner / John Niekrasz / Daniel Jurafsky / Eric Fosler-Lussier / Janyce M. Wiebe / Bill MacCartney / Natascha Korolija / Carlota S. Smith / Gail Bruder / Doug Beeferman / Konrad Körding / Rebecca J. Passonneau / Kathleen McKeown / Johanna D. Moore / Matthew Purver / Scott Weinstein / Lynne Hewitt / Richard Tobin / Christopher D. Manning / Diane J. Litman / Regina Barzilay / /

Position

editor / speaker / factored model for natural language parsing / Minimum cut model for spoken lecture segmentation / General / minimum cut model / author / /

ProvinceOrState

New Jersey / New York / /

PublishedMedium

Computational Linguistics / Machine Learning / /

Technology

three automatic algorithms / NP algorithm / topic-segmentation algorithms / automatic summarization technologies / Machine Learning / discourse segmentation algorithms / existing publication describing algorithms / intentional segmentation algorithms / 3.2 Algorithm / /

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