P03-2008 made by an expert in the field of biomedicine . The document was " sen - tence
J07-1007 of terminological resources in biomedicine ( somewhat overlapping with material
C04-1087 types ( at least in the domain of biomedicine ) . Individually , they increased
N03-2020 made by an expert in the field of biomedicine . Query 4 is a toy query made
E03-1077 allowing users ( typically experts in biomedicine ) easy formulation of queries
E03-1077 corpus mining in the domain of biomedicine . X-TRACT can be viewed as both
N13-3001 a particular domain , such as biomedicine . Word Sense Disambiguation (
H92-1042 items specific to the domain of biomedicine . Lexical entries are created
J07-1004 Domains ( such as , for example , biomedicine ) that meet all these properties
J07-1007 . Text Mining for Biology and Biomedicine provides an overview of the fundamental
E14-3001 discovery , as originally applied in biomedicine . Furthermore it identifies some
D14-1088 method to other domains such as biomedicine and integrate it into other frameworks
J08-2008 which IE is commonly used : news , biomedicine , criminal intelligence , and
D14-1034 acquire a substantial lexicon for biomedicine ( Venturi et al. , 2009 ) . These
N10-1053 represented a limited domain ( biomedicine ) while the other two were not
J12-2002 research on this topic in the biomedicine domain . Part of it was used
H05-1106 Excellence Semantic Mining in Biomedicine ( NoE 507505 ) . <title> Proceedings
E14-3001 domains . One research goal of biomedicine is to understand the interactions
J07-1007 Automatic terminology management in biomedicine " by Sophia Ananiadou and Goran
E03-1077 in specialised domains ( e.g. biomedicine ) is in line with the state-of-the-art
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