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COLING
2010
12 years 12 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...
LBM
2007
13 years 6 months ago
Syntactic Features for Protein-Protein Interaction Extraction
Background: Extracting Protein-Protein Interactions (PPI) from research papers is a way of translating information from English to the language used by the databases that store th...
Rune Sætre, Kenji Sagae, Jun-ichi Tsujii
IJBRA
2008
97views more  IJBRA 2008»
13 years 4 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
EMNLP
2009
13 years 2 months ago
A Rich Feature Vector for Protein-Protein Interaction Extraction from Multiple Corpora
Because of the importance of proteinprotein interaction (PPI) extraction from text, many corpora have been proposed with slightly differing definitions of proteins and PPI. Since ...
Makoto Miwa, Rune Sætre, Yusuke Miyao, Jun-i...
BMCBI
2010
133views more  BMCBI 2010»
13 years 5 months ago
Learning an enriched representation from unlabeled data for protein-protein interaction extraction
Background: Extracting protein-protein interactions from biomedical literature is an important task in biomedical text mining. Supervised machine learning methods have been used w...
Yanpeng Li, Xiaohua Hu, Hongfei Lin, Zhihao Yang