A Syntactic and Lexical-Based Discourse Segmenter
A Syntactic and Lexical-Based Discourse Segmenter
复制标题
基于句法和词汇的话语分段器
DOI：
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发表时间：
2009
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通讯作者：
Maite Taboada
中科院分区：
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作者：
Milan Tofiloski;Julian Brooke;Maite Taboada
我们提出了一种基于句法和词汇的话语切分器（SLSeg），旨在避免常见的文本过度切分问题。分词是语篇解析器的第一步，语篇解析器是一个从基本语篇单元构建语篇树的系统。我们将SLSeg与概率切分器进行了比较，结果表明，保守方法以牺牲召回率为代价提高了精度，同时在正式和非正式文本中都保持了较高的f分。
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.