iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system

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iSimp in BioC standard format: enhancing the interoperability of a sentence simplification system is …
instance of (P31):
scholarly articleQ13442814

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P356DOI10.1093/DATABASE/BAU038
P932PMC publication ID4028706
P698PubMed publication ID24850848
P5875ResearchGate publication ID262530849

P50authorCathy H. WuQ21062633
Yifan PengQ56958506
P2093author name stringManabu Torii
K Vijay-Shanker
Catalina O Tudor
P2860cites workBioSimplify: an open source sentence simplification engine to improve recall in automatic biomedical information extractionQ31000377
Natural language processing pipelines to annotate BioC collections with an application to the NCBI disease corpusQ33759810
The Genia Event and Protein Coreference tasks of the BioNLP Shared Task 2011Q34324734
BioC: a minimalist approach to interoperability for biomedical text processingQ34992074
A hybrid method for relation extraction from biomedical literatureQ38413287
P921main subjectinteroperabilityQ749647
P577publication date2014-05-21
P1433published inDatabaseQ5227381
P1476titleiSimp in BioC standard format: enhancing the interoperability of a sentence simplification system
P478volume2014

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cites work (P2860)
Q38639689An Overview of Biomolecular Event Extraction from Scientific Documents
Q97421898Constructing knowledge graphs and their biomedical applications
Q30487761Construction of phosphorylation interaction networks by text mining of full-length articles using the eFIP system
Q92202965PubTator central: automated concept annotation for biomedical full text articles

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