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» Multi-class Named Entities Extraction from Biomedical Litera...
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BMCBI
2005
125views more  BMCBI 2005»
13 years 7 months ago
A simple approach for protein name identification: prospects and limits
Background: Significant parts of biological knowledge are available only as unstructured text in articles of biomedical journals. By automatically identifying gene and gene produc...
Katrin Fundel, Daniel Güttler, Ralf Zimmer, J...
LREC
2008
120views Education» more  LREC 2008»
13 years 9 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...
BMCBI
2008
153views more  BMCBI 2008»
13 years 7 months ago
How to make the most of NE dictionaries in statistical NER
Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 10 months ago
Semi-Supervised Convolution Graph Kernels for Relation Extraction
Extracting semantic relations between entities is an important step towards automatic text understanding. In this paper, we propose a novel Semi-supervised Convolution Graph Kerne...
Xia Ning, Yanjun Qi
BMCBI
2008
97views more  BMCBI 2008»
13 years 7 months ago
Large-scale directional relationship extraction and resolution
Background: Relationships between entities such as genes, chemicals, metabolites, phenotypes and diseases in MEDLINE are often directional. That is, one may affect the other in a ...
Cory B. Giles, Jonathan D. Wren