A Three-stage Disfluency Classifier for Multi Party Dialogues

Margot Mieskes, Michael Strube


Abstract
We present work on a three-stage system to detect and classify disfluencies in multi party dialogues. The system consists of a regular expression based module and two machine learning based modules. The results are compared to other work on multi party dialogues and we show that our system outperforms previously reported ones.
Anthology ID:
L08-1144
Volume:
Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)
Month:
May
Year:
2008
Address:
Marrakech, Morocco
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/665_paper.pdf
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PDF:
http://www.lrec-conf.org/proceedings/lrec2008/pdf/665_paper.pdf