Mining biomedical literature using information extraction

Ronen Feldman*, Yizhar Regev, Michal Finkelstein-Landau, Eyal Hurvitz, Boris Kogan

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

17 Scopus citations


Text mining is the process of analyzing unstructured, natural language texts in order to discover information and knowledge that are difficult to retrieve directly. Information extraction is one of the most important techniques used in text mining. Natural language processing tools, augmented by lexical resources and semantic constraints can be used to build effective information extraction modules for mining biomedical literature. Visualization tools enable the user to explore, check (and correct if required) the results of the text mining process effectively.

Original languageAmerican English
Pages (from-to)19-23
Number of pages5
JournalCurrent Drug Discovery
Issue numberOCT.
StatePublished - 1 Oct 2002


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