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Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs

Jamison, Emily and Gurevych, Iryna
Aroonmanakun, Wirote and Boonkwan, Prachya and Supnithi, Thepchai (eds.) (2014):
Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs.
In: Proceedings of the The 28th Pacific Asia Conference on Language, Information and Computing, Department of Linguistics, Chulalongkorn University, Phuket, Thailand, [Online-Edition: http://www.arts.chula.ac.th/~ling/paclic28/program/pdf/479.p...],
[Conference or Workshop Item]

Abstract

Adjacency pair recognition, a necessary component of discussion thread reconstruction, is the task of recognizing reply-to relations between pairs of discussion turns. Previously, dialogue act classification and metadata-based features have been shown useful in adjacency pair recognition. However, for certain forums such as Wikipedia discussions, metadata is not available, and existing dialogue act typologies are inapplicable. In this work, we show that adjacency pair recognition can be performed using lexical pair features, without a dialogue act typology or metadata, and that this is robust to controlling for topic bias of the discussions.

Item Type: Conference or Workshop Item
Erschienen: 2014
Editors: Aroonmanakun, Wirote and Boonkwan, Prachya and Supnithi, Thepchai
Creators: Jamison, Emily and Gurevych, Iryna
Title: Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs
Language: English
Abstract:

Adjacency pair recognition, a necessary component of discussion thread reconstruction, is the task of recognizing reply-to relations between pairs of discussion turns. Previously, dialogue act classification and metadata-based features have been shown useful in adjacency pair recognition. However, for certain forums such as Wikipedia discussions, metadata is not available, and existing dialogue act typologies are inapplicable. In this work, we show that adjacency pair recognition can be performed using lexical pair features, without a dialogue act typology or metadata, and that this is robust to controlling for topic bias of the discussions.

Title of Book: Proceedings of the The 28th Pacific Asia Conference on Language, Information and Computing
Publisher: Department of Linguistics, Chulalongkorn University
Uncontrolled Keywords: Secure Data;UKP_p_ItForensics;reviewed;UKP_a_TexMinAn
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Ubiquitous Knowledge Processing
LOEWE
LOEWE > LOEWE-Zentren
LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt
Event Location: Phuket, Thailand
Date Deposited: 31 Dec 2016 14:29
Official URL: http://www.arts.chula.ac.th/~ling/paclic28/program/pdf/479.p...
Identification Number: TUD-CS-2014-0990
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