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Building a protein name dictionary from full text: a machine learning term extraction approach
Authors:Lei?Shi,Fabien?Campagne  author-information"  >  author-information__contact u-icon-before"  >  mailto:fac@med.cornell.edu"   title="  fac@med.cornell.edu"   itemprop="  email"   data-track="  click"   data-track-action="  Email author"   data-track-label="  "  >Email author
Affiliation:(1) Dept. of Physiology and Biophysics, Institute for Computational Biomedicine and Weill Cornell Medical College, 1300 York Ave, New York, NY 10021, USA
Abstract:

Background  

The majority of information in the biological literature resides in full text articles, instead of abstracts. Yet, abstracts remain the focus of many publicly available literature data mining tools. Most literature mining tools rely on pre-existing lexicons of biological names, often extracted from curated gene or protein databases. This is a limitation, because such databases have low coverage of the many name variants which are used to refer to biological entities in the literature.
Keywords:
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