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» A Method of Recognizing Entity and Relation
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AIRS
2010
Springer
13 years 3 months ago
Semantic Relation Extraction Based on Semi-supervised Learning
Many tasks of information extraction or natural language processing have a property that the data naturally consist of several views--disjoint subsets of features. Specifically, a ...
Haibo Li, Yutaka Matsuo, Mitsuru Ishizuka
BMCBI
2005
122views more  BMCBI 2005»
13 years 5 months ago
Finding genomic ontology terms in text using evidence content
Background: The development of text mining systems that annotate biological entities with their properties using scientific literature is an important recent research topic. These...
Francisco M. Couto, Mário J. Silva, Pedro C...
ACL
2006
13 years 7 months ago
A Composite Kernel to Extract Relations between Entities with Both Flat and Structured Features
This paper proposes a novel composite kernel for relation extraction. The composite kernel consists of two individual kernels: an entity kernel that allows for entity-related feat...
Min Zhang, Jie Zhang, Jian Su, Guodong Zhou
BMCBI
2005
119views more  BMCBI 2005»
13 years 5 months ago
The distance-profile representation and its application to detection of distantly related protein families
Background: Detecting homology between remotely related protein families is an important problem in computational biology since the biological properties of uncharacterized protei...
Chin-Jen Ku, Golan Yona
KCAP
2005
ACM
13 years 11 months ago
CORDER: COmmunity relation discovery by named entity recognition
We present a text mining method called CORDER [4] which discovers social networks from an organization’s documents. CORDER finds relations between a target named entity and othe...
Jianhan Zhu, Alexandre L. Gonçalves, Victor...