2001 Presentations (Communicative Events)
Towards generating patient specific summaries of medical articles
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.
Subjects
Files
-
elhadad_mckeown_01.pdf application/pdf 147 KB Download File
More About This Work
- Academic Units
- Computer Science
- Publisher
- Proceedings of the NAACL 2001 Workshop on Automatic Summarization
- Published Here
- May 3, 2013