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.
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): | ![]() |