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.
Tofiloski et al. presented a discourse segmenter (SLSeg) leading to higher precision REF .
A Syntactic and Lexical-Based Discourse Segmenter
ACL-IJCNLP: Short Papers
Computer Science