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Automatic detection of nonreferential it in spoken multi-party dialog

  • We present an implemented machine learning system for the automatic detection of nonreferential it in spoken dialog. The system builds on shallow features extracted from dialog transcripts. Our experiments indicate a level of performance that makes the system usable as a preprocessing filter for a coreference resolution system. We also report results of an annotation study dealing with the classification of it by naive subjects.

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Metadaten
Author:Mark-Christoph MüllerORCiDGND
URN:urn:nbn:de:bsz:mh39-111048
URL:https://aclanthology.org/E06-1007
ISBN:1-932432-59-0
Parent Title (English):Proceedings of the 11th Conference of the European Chapter of the Association for Computational Linguistics. April, 3rd – 7th, 2006, Trento, Italy
Publisher:Association for Computational Linguistics
Place of publication:Stroudsburg, Pennsylvania
Editor:Diana McCarthy, Shuly Wintner
Document Type:Conference Proceeding
Language:English
Year of first Publication:2006
Date of Publication (online):2022/06/27
Publishing Institution:Leibniz-Institut für Deutsche Sprache (IDS)
Publicationstate:Veröffentlichungsversion
Reviewstate:Peer-Review
GND Keyword:Automatische Klassifikation; Computerlinguistik; Dialog; Gesprochene Sprache; Korpus <Linguistik>; Maschinelles Lernen; Mitschrift; it
First Page:49
Last Page:56
DDC classes:400 Sprache / 400 Sprache, Linguistik
Open Access?:ja
Linguistics-Classification:Computerlinguistik
Linguistics-Classification:Pragmalinguistik / Kommunikationsforschung
Licence (English):License LogoCreative Commons - Attribution-NonCommercial-ShareAlike 3.0 Unported