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» Kernel-based learning for biomedical relation extraction
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BMCBI
2008
149views more  BMCBI 2008»
13 years 5 months ago
All-paths graph kernel for protein-protein interaction extraction with evaluation of cross-corpus learning
Background: Automated extraction of protein-protein interactions (PPI) is an important and widely studied task in biomedical text mining. We propose a graph kernel based approach ...
Antti Airola, Sampo Pyysalo, Jari Björne, Tap...
COLING
2008
13 years 6 months ago
A Local Alignment Kernel in the Context of NLP
This paper discusses local alignment kernels in the context of the relation extraction task. We define a local alignment kernel based on the Smith-Waterman measure as a sequence s...
Sophia Katrenko, Pieter W. Adriaans
JAIR
2010
132views more  JAIR 2010»
13 years 3 months ago
Using Local Alignments for Relation Recognition
This paper discusses the problem of marrying structural similarity with semantic relatedness for Information Extraction from text. Aiming at accurate recognition of relations, we ...
Sophia Katrenko, Pieter W. Adriaans, Maarten van S...
JASIS
2008
58views more  JASIS 2008»
13 years 5 months ago
Kernel-based learning for biomedical relation extraction
Jiexun Li, Zhu Zhang, Xin Li, Hsinchun Chen
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 7 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