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BMCBI
2008
122views more  BMCBI 2008»
14 years 10 months ago
OpenDMAP: An open source, ontology-driven concept analysis engine, with applications to capturing knowledge regarding protein tr
Background: Information extraction (IE) efforts are widely acknowledged to be important in harnessing the rapid advance of biomedical knowledge, particularly in areas where import...
Lawrence Hunter, Zhiyong Lu, James Firby, William ...
MIR
2005
ACM
129views Multimedia» more  MIR 2005»
15 years 3 months ago
Tracking concept drifting with an online-optimized incremental learning framework
Concept drifting is an important and challenging research issue in the field of machine learning. This paper mainly addresses the issue of semantic concept drifting in time series...
Jun Wu, Dayong Ding, Xian-Sheng Hua, Bo Zhang
LREC
2010
237views Education» more  LREC 2010»
14 years 11 months ago
Entity Mention Detection using a Combination of Redundancy-Driven Classifiers
We present an experimental framework for Entity Mention Detection in which two different classifiers are combined to exploit Data Redundancy attained through the annotation of a l...
Silvana Marianela Bernaola Biggio, Manuela Speranz...
CSB
2005
IEEE
155views Bioinformatics» more  CSB 2005»
15 years 3 months ago
BioNavigation: Using Ontologies to Express Meaningful Navigational Queries Over Biological Resources
Exploiting the complex maze of publicly available Biological resources to implement scientific data collection pipelines poses a multitude of challenges to biologists in accurate...
Zoé Lacroix, Kaushal Parekh, Maria-Esther V...
NAACL
2004
14 years 11 months ago
A Statistical Model for Multilingual Entity Detection and Tracking
Entity detection and tracking is a relatively new addition to the repertoire of natural language tasks. In this paper, we present a statistical language-independent framework for ...
Radu Florian, Hany Hassan, Abraham Ittycheriah, Ho...