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» Biomedical Text Retrieval System at Korea University
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TREC
2007
13 years 9 months ago
Using IR-n for Information Retrieval of Genomics Track
Nowadays there is a big amount of biomedical literature which uses complex nouns and acronyms of biological entities thus complicating the task of retrieval specific information....
María Pardiño, Rafael M. Terol, Patr...
TRECVID
2007
13 years 9 months ago
SINAI at TRECVID 2007
This paper describes the first participation of the SINAI1 group of the University of Ja´en in TRECVID 2007. We have only participated in the automatic search task. Our approach...
Manuel Carlos Díaz-Galiano, José M. ...
TREC
2003
13 years 9 months ago
QED: The Edinburgh TREC-2003 Question Answering System
This report describes a new open-domain answer retrieval system developed at the University of Edinburgh and gives results for the TREC-12 question answering track. Phrasal answer...
Jochen L. Leidner, Johan Bos, Tiphaine Dalmas, Jam...
BMCBI
2005
251views more  BMCBI 2005»
13 years 8 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
BMCBI
2005
155views more  BMCBI 2005»
13 years 8 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley