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Towards generating patient specific summaries of medical articles

McKeown, Kathleen; Elhadad, Noemie

The end users of medical digital libraries need quick access to information that is specific to the patients under their care. We present a summarization system that finds and extracts results from multiple medical journal articles returned by a search, filters results that match the patient and merges and orders the remaining facts for the summary. Our approach features an integration of text categorization, information extraction, information fusion and text reformulation for the summarization task.

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More About This Work

Academic Units
Computer Science
Publisher
Proceedings of the NAACL 2001 Workshop on Automatic Summarization
Published Here
May 3, 2013
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