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COLING
2010
13 years 2 months ago
Dependency-Driven Feature-based Learning for Extracting Protein-Protein Interactions from Biomedical Text
Recent kernel-based PPI extraction systems achieve promising performance because of their capability to capture structural syntactic information, but at the expense of computation...
Bing Liu, Longhua Qian, Hongling Wang, Guodong Zho...
SDM
2011
SIAM
269views Data Mining» more  SDM 2011»
12 years 10 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
EKAW
2008
Springer
13 years 9 months ago
Unsupervised Discovery of Compound Entities for Relationship Extraction
In this paper we investigate unsupervised population of a biomedical ontology via information extraction from biomedical literature. Relationships in text seldom connect simple ent...
Cartic Ramakrishnan, Pablo N. Mendes, Shaojun Wang...
FLAIRS
2009
13 years 5 months ago
Improving Biomedical Document Retrieval by Mining Domain Knowledge
When research articles introduce new findings or concepts they typically relate them only to knowledge and domain concepts of immediate relevance. However, many domain concepts re...
Shuguang Wang, Milos Hauskrecht
IJBRA
2008
97views more  IJBRA 2008»
13 years 7 months ago
Extracting Protein-Protein Interactions from MEDLINE using the Hidden Vector State model
: A major challenge in text mining for biomedicine is automatically extracting protein-protein interactions from the vast amount of biomedical literature. We have constructed an in...
Deyu Zhou, Yulan He, Chee Keong Kwoh