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BMCBI
2006
112views more  BMCBI 2006»
13 years 8 months ago
Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of disease
Background: Genomic functional information is valuable for biomedical research. However, such information frequently needs to be extracted from the scientific literature and struc...
Marco Masseroli, Halil Kilicoglu, François-...
BMCBI
2005
189views more  BMCBI 2005»
13 years 8 months ago
A sentence sliding window approach to extract protein annotations from biomedical articles
Background: Within the emerging field of text mining and statistical natural language processing (NLP) applied to biomedical articles, a broad variety of techniques have been deve...
Martin Krallinger, Maria Padron, Alfonso Valencia
AIMSA
2004
Springer
14 years 1 months ago
PubMiner: Machine Learning-Based Text Mining System for Biomedical Information Mining
PubMiner, an intelligent machine learning based text mining system for mining biological information from the literature is introduced. PubMiner utilize natural language processing...
Jae-Hong Eom, Byoung-Tak Zhang
KAIS
2006
121views more  KAIS 2006»
13 years 8 months ago
TEG-a hybrid approach to information extraction
Abstract This paper describes a hybrid statistical and knowledge-based inforQ1 mation extraction model, able to extract entities and relations at the sentence level. The model atte...
Ronen Feldman, Binyamin Rosenfeld, Moshe Fresko
LREC
2008
120views Education» more  LREC 2008»
13 years 10 months ago
Exploiting the Role of Position Feature in Chinese Relation Extraction
Relation extraction is the task of finding pre-defined semantic relations between two entities or entity mentions from text. Many methods, such as feature-based and kernel-based m...
Peng Zhang, Wenjie Li, Furu Wei, Qin Lu, Yuexian H...