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Volume 16 Supplement 16

BioNLP Shared Task 2013: Part 2

Research

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

  1. 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...

    Authors: Slavko Žitnik, Marinka Žitnik, Blaž Zupan and Marko Bajec
    Citation: BMC Bioinformatics 2015 16(Suppl 16):S1
  2. 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...

    Authors: Haibin Liu, Karin Verspoor, Donald C Comeau, Andrew D MacKinlay and W John Wilbur
    Citation: BMC Bioinformatics 2015 16(Suppl 16):S2
  3. 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...

    Authors: Kai Hakala, Sofie Van Landeghem, Tapio Salakoski, Yves Van de Peer and Filip Ginter
    Citation: BMC Bioinformatics 2015 16(Suppl 16):S3
  4. 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...

    Authors: Jari Björne and Tapio Salakoski
    Citation: BMC Bioinformatics 2015 16(Suppl 16):S4

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