Mining the Web for Discourse Markers

Ben Hutchinson


Abstract
This paper proposes a methodology for obtaining sentences containing discourse markers from the World Wide Web. The proposed methodology is particularly suitable for collecting large numbers of discourse marker tokens. It relies on the automatic identification of discourse markers, and we show that this can be done with an accuracy within 9% of that of human performance. We also show that the distribution of discourse markers on the web correlates highly with those in a conventional balanced corpus.
Anthology ID:
L04-1182
Volume:
Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
Month:
May
Year:
2004
Address:
Lisbon, Portugal
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
Note:
Pages:
Language:
URL:
http://www.lrec-conf.org/proceedings/lrec2004/pdf/333.pdf
DOI:
Bib Export formats:
BibTeX MODS XML EndNote
PDF:
http://www.lrec-conf.org/proceedings/lrec2004/pdf/333.pdf