Getting more out of biomedical documents with GATE's full lifecycle open source text analytics. (2013)
Attributed to:
Machine Learning Methods for Personalised, Abstractive Summarisation of Consumer-Generated Media
funded by
EPSRC
Abstract
No abstract provided
Bibliographic Information
Digital Object Identifier: http://dx.doi.org/10.1371/journal.pcbi.1002854
PubMed Identifier: 23408875
Publication URI: http://europepmc.org/abstract/MED/23408875
Type: Journal Article/Review
Volume: 9
Parent Publication: PLoS computational biology
Issue: 2
ISSN: 1553-734X