Konferenzbeitrag
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.
- Sprache
-
Englisch
- Thema
-
it
Dialog
Gesprochene Sprache
Maschinelles Lernen
Mitschrift
Korpus <Linguistik>
Automatische Klassifikation
Computerlinguistik
Sprache
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Müller, Mark-Christoph
- Ereignis
-
Veröffentlichung
- (wer)
-
Stroudsburg, Pennsylvania : Association for Computational Linguistics
Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
- (wann)
-
2022-06-27
- URN
-
urn:nbn:de:bsz:mh39-111048
- Letzte Aktualisierung
-
06.03.2025, 09:00 MEZ
Datenpartner
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Objekttyp
- Konferenzbeitrag
Beteiligte
- Müller, Mark-Christoph
- Stroudsburg, Pennsylvania : Association for Computational Linguistics
- Mannheim : Leibniz-Institut für Deutsche Sprache (IDS)
Entstanden
- 2022-06-27
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