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Power, Richard and Scott, Donia
(2005).
URL: http://oro.open.ac.uk/secure/00005265/01/power-sco...
Abstract
Research on paraphrase has mostly focussed on lexical or syntactic variation within individual sentences. Our concern is with larger-scale paraphrases, from multiple sentences or paragraphs to entire documents. In this paper
we address the problem of generating paraphrases of large chunks of texts. We ground our discussion through a
worked example of extending an existing NLG system to accept as input a source text, and to generate a range of fluent semantically-equivalent alternatives, varying not only at the lexical and syntactic levels, but also in document structure and layout.
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- Item ORO ID
- 5265
- Item Type
- Conference or Workshop Item
- Academic Unit or School
-
Faculty of Science, Technology, Engineering and Mathematics (STEM) > Computing and Communications
Faculty of Science, Technology, Engineering and Mathematics (STEM) - Research Group
- Centre for Research in Computing (CRC)
- Depositing User
- Deborah Briggs