Using automatically labelled examples to classify rhetorical relations: an assessment
نویسندگان
چکیده
منابع مشابه
Using automatically labelled examples to classify rhetorical relations: an assessment
Being able to identify which rhetorical relations (e.g., contrast or explanation) hold between spans of text is important for many natural language processing applications. Using machine learning to obtain a classifier which can distinguish between different relations typically depends on the availability of manually labelled training data, which is very time-consuming to create. However, rheto...
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We propose a method for automatically identifying rhetorical relations. We use supervised machine learning but exploit cue phrases to automatically extract and label training data. Our models draw on a variety of linguistic cues to distinguish between the relations. We show that these feature-rich models outperform the previously suggested bigram models by more than 20%, at least for small trai...
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'Relation based' approaches to discourse analysis and text generation suffer from a common problem: there is considerable disagreement between researchers over the set of relations which is proposed. Few researchers use identical sets of relations, and many use relations not found in any other sets. This proliferation of relations has been pointed out before (eg Hovy [1]), and several methods f...
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ژورنال
عنوان ژورنال: Natural Language Engineering
سال: 2006
ISSN: 1351-3249,1469-8110
DOI: 10.1017/s1351324906004451