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» Improving Text Mining with Controlled Natural Language: A Ca...
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DILS
2006
Springer
13 years 10 months ago
Improving Text Mining with Controlled Natural Language: A Case Study for Protein Interactions
Linking the biomedical literature to other data resources is notoriously difficult and requires text mining. Text mining aims to automatically extract facts from literature. Since ...
Tobias Kuhn, Loïc Royer, Norbert E. Fuchs, Mi...
IJCNN
2007
IEEE
14 years 16 days ago
Text Representations for Text Categorization: A Case Study in Biomedical Domain
— In vector space model (VSM), textual documents are represented as vectors in the term space. Therefore, there are two issues in this representation, i.e. (1) what should a term...
Man Lan, Chew Lim Tan, Jian Su, Hwee-Boon Low
CIKM
2008
Springer
13 years 8 months ago
The role of syntactic features in protein interaction extraction
Most approaches for protein interaction mining from biomedical texts use both lexical and syntactic features. However, the individual impact of these two kinds of features on the ...
Timur Fayruzov, Martine De Cock, Chris Cornelis, V...
CANDC
2004
ACM
13 years 6 months ago
Identification of related gene/protein names based on an HMM of name variations
Gene and protein names follow few, if any, true naming conventions and are subject to great variation in different occurrences of the same name. This gives rise to two important p...
Lana Yeganova, Lawrence H. Smith, W. John Wilbur
BMCBI
2007
168views more  BMCBI 2007»
13 years 6 months ago
Automatic extraction of gene ontology annotation and its correlation with clusters in protein networks
Background: Uncovering cellular roles of a protein is a task of tremendous importance and complexity that requires dedicated experimental work as well as often sophisticated data ...
Nikolai Daraselia, Anton Yuryev, Sergei Egorov, Il...