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» Composite Kernels For Relation Extraction
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SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
14 years 10 days 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
108
Voted
EMNLP
2011
13 years 9 months ago
Relation Extraction with Relation Topics
This paper describes a novel approach to the semantic relation detection problem. Instead of relying only on the training instances for a new relation, we leverage the knowledge l...
Chang Wang, James Fan, Aditya Kalyanpur, David Gon...
86
Voted
EACL
2006
ACL Anthology
14 years 11 months ago
Exploiting Shallow Linguistic Information for Relation Extraction from Biomedical Literature
We propose an approach for extracting relations between entities from biomedical literature based solely on shallow linguistic information. We use a combination of kernel function...
Claudio Giuliano, Alberto Lavelli, Lorenza Romano
86
Voted
COLING
2010
14 years 4 months ago
Composition of Semantic Relations: Model and Applications
This paper presents a framework for combining semantic relations extracted from text to reveal even more semantics that otherwise would be missed. A set of 26 relations is introdu...
Eduardo Blanco 0002, Hakki C. Cankaya, Dan I. Mold...
64
Voted
COLING
2010
14 years 4 months ago
Entity-Focused Sentence Simplification for Relation Extraction
Relations between entities in text have been widely researched in the natural language processing and informationextraction communities. The region connecting a pair of entities (...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...