Relation extraction is an essential procedure in literature mining. It focuses on extracting semantic relations between parts of text, called mentions. Biomedical literature includes an enormous amount of text...
Volume 16 Supplement 16
BioNLP Shared Task 2013: Part 2
Edited by Claire Nédellec, Sampo Pyysalo, Sophia Ananiadou and Pierre Zweigenbaum
Publication of this supplement has not been supported by sponsorship. Information about the source of funding for publication charges can be found in the individual articles. Articles have undergone the journal's standard peer review process for supplements. The Supplement Editors declare that they have no competing interests.
BioNLP Shared Task 2013. Go to conference site.
Sofia, Bulgaria9 August 2013
Citation: BMC Bioinformatics 2015 16(Suppl 16):S1
We participated in the BioNLP 2013 shared tasks on event extraction. Our extraction method is based on the search for an approximate subgraph isomorphism between key context dependencies of events and graphs o...Citation: BMC Bioinformatics 2015 16(Suppl 16):S2
Application of the EVEX resource to event extraction and network construction: Shared Task entry and result analysis
Modern methods for mining biomolecular interactions from literature typically make predictions based solely on the immediate textual context, in effect a single sentence. No prior work has been published on ex...Citation: BMC Bioinformatics 2015 16(Suppl 16):S3
The Turku Event Extraction System (TEES) is a text mining program developed for the extraction of events, complex biomedical relationships, from scientific literature. Based on a graph-generation approach, the...Citation: BMC Bioinformatics 2015 16(Suppl 16):S4
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