Learning to Extract Proteins and their Interactions from Medline Abstracts

Learning to Extract Proteins and their Interactions from Medline Abstracts (2003)

Cached

Download Links

by Razvan Bunescu , Ruifang Ge , Rohit J. Kate , Raymond J. Mooney , Yuk Wah Wong , Edward M. Marcotte , Arun Ramani

Venue:	In: ICML-2003 Workshop on Machine Learning in Bioinformatics. (2003
Citations:	10 - 0 self

Versions

Version History

Metadata Version 3

User correction supplied by SystemCorrections

Datum	Value	Source
TITLE	Learning to Extract Proteins and their Interactions from Medline Abstracts	user correction - Legacy Corrections
AUTHOR NAME	Razvan Bunescu	SVM HeaderParse 0.1
AUTHOR NAME	Ruifang Ge	SVM HeaderParse 0.1
AUTHOR NAME	Rohit J. Kate	SVM HeaderParse 0.1
AUTHOR NAME	Raymond J. Mooney	SVM HeaderParse 0.1
AUTHOR NAME	Yuk Wah Wong	SVM HeaderParse 0.1
AUTHOR AFFIL	Department of Computer Sciences, University of Texas, Austin	SVM HeaderParse 0.2
AUTHOR ADDR	TX 78712, USA	SVM HeaderParse 0.1
AUTHOR NAME	Edward M. Marcotte	SVM HeaderParse 0.1
AUTHOR NAME	Arun Ramani	SVM HeaderParse 0.1
AUTHOR AFFIL	Institute for Cellular and Molecular Biology and Center for Computational Biology and Bioinformatics, University; of Texas, Austin	SVM HeaderParse 0.2
AUTHOR ADDR	TX 78712, USA	SVM HeaderParse 0.1
ABSTRACT	We present results from a variety of learned information extraction systems for identifying human protein names in Medline abstracts and subsequently extracting interactions between the proteins. We demonstrate that machine learning approaches using support vector machines and hidden Markov models are able to identify human proteins with higher accuracy than several previous approaches. We also demonstrate that various rule induction methods are able to identify protein interactions with higher precision than manually-developed rules.	user correction - Legacy Corrections
YEAR	2003	user correction - Legacy Corrections
VENUE	In: ICML-2003 Workshop on Machine Learning in Bioinformatics. (2003	INFERENCE
VENUE TYPE	CONFERENCE	INFERENCE
PAGES	46--53	INFERENCE
CITATIONS	20 found	ParsCit 1.0