NDLI: ProtChew: Automatic Extraction of Protein Names from Biomedical Literature

Content Provider	IEEE Xplore Digital Library
Author	Tveit, A. Saetre, R. Laegreid, A. Steigedal, T.S.
Copyright Year	2005
Description	Author affiliation: NTNU, Norway (Tveit, A.)
Abstract	With the increasing amount of biomedical literature, there is a need for automatic extraction of information to support biomedical researchers. Due to incomplete biomedical information databases, the extraction is not straightforward using dictionaries, and several approaches using contextual rules and machine learning have previously been proposed. Our work is inspired by the previous approaches, but is novel in the sense that it is fully automatic and doesnt rely on expert tagged corpora. The main ideas are 1) unigram tagging of corpora using known protein names for training examples for the protein name extraction classi- fier and 2) tight positive and negative examples by having protein-related words as negative examples and protein names/synonyms as positive examples. We present preliminary results on Medline abstracts about gastrin, further work will be on testing the approach on BioCreative benchmark data sets.
Starting Page	1161
Ending Page	1161
File Size	562084
Page Count	1
File Format	PDF
ISBN	0769526578
DOI	10.1109/ICDE.2005.268
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Protein engineering Information science Biomedical materials Databases Training data Abstracts Biomedical computing Data mining Cancer Biological materials
Content Type	Text
Resource Type	Article

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