Jamison, Emily ; Gurevych, Iryna
eds.: Aroonmanakun, Wirote ; Boonkwan, Prachya ; Supnithi, Thepchai (2014)
Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs.
Phuket, Thailand
Conference or Workshop Item, Bibliographie
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 ; Boonkwan, Prachya ; Supnithi, Thepchai |
| Creators: | Jamison, Emily ; Gurevych, Iryna |
| Type of entry: | Bibliographie |
| Title: | Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs |
| Language: | English |
| Date: | December 2014 |
| Publisher: | Department of Linguistics, Chulalongkorn University |
| Book Title: | Proceedings of the The 28th Pacific Asia Conference on Language, Information and Computing |
| Event Location: | Phuket, Thailand |
| URL / URN: | http://www.arts.chula.ac.th/~ling/paclic28/program/pdf/479.p... |
| Corresponding Links: | |
| 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. |
| Uncontrolled Keywords: | Secure Data;UKP_p_ItForensics;reviewed;UKP_a_TexMinAn |
| Identification Number: | TUD-CS-2014-0990 |
| 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 |
| Date Deposited: | 31 Dec 2016 14:29 |
| Last Modified: | 24 Jan 2020 12:03 |
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