Jamison, Emily ; Gurevych, Iryna
Hrsg.: Aroonmanakun, Wirote ; Boonkwan, Prachya ; Supnithi, Thepchai (2014)
Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs.
Phuket, Thailand
Konferenzveröffentlichung, Bibliographie
Kurzbeschreibung (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.
| Typ des Eintrags: | Konferenzveröffentlichung |
|---|---|
| Erschienen: | 2014 |
| Herausgeber: | Aroonmanakun, Wirote ; Boonkwan, Prachya ; Supnithi, Thepchai |
| Autor(en): | Jamison, Emily ; Gurevych, Iryna |
| Art des Eintrags: | Bibliographie |
| Titel: | Adjacency Pair Recognition in Wikipedia Discussions using Lexical Pairs |
| Sprache: | Englisch |
| Publikationsjahr: | Dezember 2014 |
| Verlag: | Department of Linguistics, Chulalongkorn University |
| Buchtitel: | Proceedings of the The 28th Pacific Asia Conference on Language, Information and Computing |
| Veranstaltungsort: | Phuket, Thailand |
| URL / URN: | http://www.arts.chula.ac.th/~ling/paclic28/program/pdf/479.p... |
| Zugehörige Links: | |
| Kurzbeschreibung (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. |
| Freie Schlagworte: | Secure Data;UKP_p_ItForensics;reviewed;UKP_a_TexMinAn |
| ID-Nummer: | TUD-CS-2014-0990 |
| Fachbereich(e)/-gebiet(e): | 20 Fachbereich Informatik 20 Fachbereich Informatik > Ubiquitäre Wissensverarbeitung LOEWE LOEWE > LOEWE-Zentren LOEWE > LOEWE-Zentren > CASED – Center for Advanced Security Research Darmstadt |
| Hinterlegungsdatum: | 31 Dez 2016 14:29 |
| Letzte Änderung: | 24 Jan 2020 12:03 |
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