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Knowledge sources for bridging resolution in multi-party dialog

  • In this paper we investigate the coverage of the two knowledge sources WordNet and Wikipedia for the task of bridging resolution. We report on an annotation experiment which yielded pairs of bridging anaphors and their antecedents in spoken multi-party dialog. Manual inspection of the two knowledge sources showed that, with some interesting exceptions, Wikipedia is superior to WordNet when it comes to the coverage of information necessary to resolve the bridging anaphors in our data set. We further describe a simple procedure for the automatic extraction of the required knowledge from Wikipedia by means of an API, and discuss some of the implications of the procedure’s performance.

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Author:Mark-Christoph MüllerORCiDGND, Margot MieskesGND, Michael StrubeGND
Parent Title (English):Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08). May 28-30, 2008, Marrakech, Morocco
Publisher:European Language Resources Association (ELRA)
Place of publication:Paris
Editor:Nicoletta Calzolari, Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias
Document Type:Conference Proceeding
Year of first Publication:2008
Date of Publication (online):2022/06/24
Publishing Institution:Leibniz-Institut für Deutsche Sprache (IDS)
Tag:bridging resolution; discourse; knowledge sources; lexical database; lexicon; multi-party dialog; semantic web
GND Keyword:API; Datensatz; Dialog; Diskurs; Gesprochene Sprache; Information; Lexikon; Semantic Web; Wikipedia; Wissensextraktion; WordNet
First Page:2829
Last Page:2834
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Pragmalinguistik / Kommunikationsforschung
Licence (English):License LogoCreative Commons - Attribution-NonCommercial-ShareAlike 3.0 Unported