Work

Mining the Web for Discourse Markers

Year: 2004

Type: conference-paper

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.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/3b5c7yah6g4r

Author: Ben Hutchinson

Institution: University of Edinburgh

Language: English

Topic: Natural Language Processing Techniques

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: hybrid

Funder: Engineering and Physical Sciences Research Council

OpenAlex ID: W97242617