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Hallett, Catalina and Scott, Donia
(2005).
URL: http://mcs.open.ac.uk/ds5473/publications/structur...
Abstract
We present a natural language generator that produces a range of medical reports on the clinical histories of
cancer patients, and discuss the problem of conceptual restatement in generating various textual views of the
same conceptual content. We focus on two features of our system: the demand for 'loose paraphrases' between
the various reports on a given patient, with a high degree of semantic overlap but some necessary amount of distinctive content; and the requirement for paraphrasing at primarily the discourse level.
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About
- Item ORO ID
- 5249
- Item Type
- Conference or Workshop Item
- Keywords
- paraphrasing; natural language; generation; medical records; e-health
- 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
- Donia Scott