A syntactic and lexical-based discourse segmenter

Authors:
Milan Tofiloski;Julian Brooke;Maite Taboada
Affiliations:
Simon Fraser University, Burnaby, BC, Canada;Simon Fraser University, Burnaby, BC, Canada;Simon Fraser University, Burnaby, BC, Canada
Venue:
ACLShort '09 Proceedings of the ACL-IJCNLP 2009 Conference Short Papers
Year:
2009

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Abstract

We present a syntactic and lexically based discourse segmenter (SLSeg) that is designed to avoid the common problem of over-segmenting text. Segmentation is the first step in a discourse parser, a system that constructs discourse trees from elementary discourse units. We compare SLSeg to a probabilistic segmenter, showing that a conservative approach increases precision at the expense of recall, while retaining a high F-score across both formal and informal texts.