Presented at: The Sixth International Language Resources and Evaluation Conference (LREC2008)
by Margot Mieskes, Michael Strube
Webpage: http://www.lrec-conf.org/proceedings/lrec2008/pdf/665_paper.pdfWebpage: http://www.lrec-conf.org/proceedings/lrec2008/slides/665.pdf
Webpage: http://www.lrec-conf.org/proceedings/lrec2008/summaries/665.html
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.
Keywords: Corpus (creation, annotation, etc.), Dialogue & Natural Interactivity, Discourse, Linguistics
Resource URI on the dog food server: http://data.semanticweb.org/conference/lrec/2008/papers/665
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