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BMCBI
2010
133views more  BMCBI 2010»
15 years 2 hour ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang
KDD
1998
ACM
159views Data Mining» more  KDD 1998»
15 years 4 months ago
A Robust System Architecture for Mining Semi-Structured Data
The value of extracting knowledge from semi-structured data is readily apparent with the explosion of the WWW and the advent of digital libraries. This paper proposes a versatile ...
Lisa Singh, Bin Chen, Rebecca Haight, Peter Scheue...
PKDD
2001
Springer
120views Data Mining» more  PKDD 2001»
15 years 4 months ago
Text Categorization and Semantic Browsing with Self-Organizing Maps on Non-euclidean Spaces
This paper introduces a new type of Self-Organizing Map (SOM) for Text Categorization and Semantic Browsing. We propose a “hyperbolic SOM” (HSOM) based on a regular tesselation...
Jörg Ontrup, Helge Ritter
BMCBI
2005
87views more  BMCBI 2005»
14 years 11 months ago
BioCreAtIvE Task 1A: gene mention finding evaluation
Background: The biological research literature is a major repository of knowledge. As the amount of literature increases, it will get harder to find the information of interest on...
Alexander S. Yeh, Alexander A. Morgan, Marc E. Col...
KDD
2009
ACM
169views Data Mining» more  KDD 2009»
16 years 13 days ago
COA: finding novel patents through text analysis
In recent years, the number of patents filed by the business enterprises in the technology industry are growing rapidly, thus providing unprecedented opportunities for knowledge d...
Mohammad Al Hasan, W. Scott Spangler, Thomas D. Gr...