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1. Knowledge sources for bridging resolution in multi-party dialog

   Autor*in: Müller, Mark-Christoph ; Mieskes, Margot ; Strube, Michael

   Erschienen: 2022

   Verlag:  Paris : European Language Resources Association (ELRA) ; Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)

   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... mehr

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   Volltext:	https://ids-pub.bsz-bw.de/frontdoor/index/index/docId/11102 https://ids-pub.bsz-bw.de/files/11102/Mueller_Mieskes_Knowledge_sources_2008.pdf
   Zitierfähiger Link:	https://nbn-resolving.org/urn:nbn:de:bsz:mh39-111024

   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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   Quelle:	BASE Fachausschnitt Germanistik
   Sprache:	Englisch
   Medientyp:	Konferenzveröffentlichung
   Format:	Online
   DDC Klassifikation:	Sprache (400)
   Schlagworte:	Dialog; WordNet; Wikipedia; Gesprochene Sprache; Information; Datensatz; Wissensextraktion; API; Diskurs; Semantic Web; Lexikon
   Lizenz:	creativecommons.org/licenses/by-nc-sa/3.0/ ; info:eu-repo/semantics/openAccess