Application of the EVEX resource to event extraction and network construction: Shared Task entry and result analysis-Reference-Cited by-同舟云学术

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Application of the EVEX resource to event extraction and network construction: Shared Task entry and result analysis

Published:2015-10-30 Issue:S16 Volume:16 Page:
ISSN:1471-2105
Container-title:BMC Bioinformatics
language:en
Short-container-title:BMC Bioinformatics

Author:

Hakala Kai,Van Landeghem Sofie,Salakoski Tapio,Van de Peer Yves,Ginter Filip

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Structural Biology

Link

https://link.springer.com/content/pdf/10.1186/1471-2105-16-S16-S3.pdf

Reference25 articles.

1. Van Landeghem S, Björne J, Wei CH, Hakala K, Pyysalo S, Ananiadou S, Kao HY, Lu Z, Salakoski T, Van de Peer Y, Ginter F: Large-scale event extraction from literature with multi-level gene normalization. PLoS ONE. 2013, 8 (4): 55814-

2. Kim JD, Nguyen N, Wang Y, Tsujii J, Takagi T, Yonezawa A: The Genia event and protein coreference tasks of the BioNLP Shared Task 2011. BMC Bioinformatics. 2012, 13 (Suppl 11): 1-

3. McClosky D, Riedel S, Surdeanu M, McCallum A, Manning C: Combining joint models for biomedical event extraction. BMC Bioinformatics. 2012, 13 (Suppl 11): 9-

4. Björne J, Ginter F, Salakoski T: University of Turku in the BioNLP'11 Shared Task. BMC Bioinformatics. 2012, 13 (Suppl 11): 4-

5. Vlachos A, Craven M: Biomedical event extraction from abstracts and full papers using search-based structured prediction. BMC Bioinformatics. 2012, 13 (Suppl 11): 5-

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4. Learning from Co-expression Networks: Possibilities and Challenges;Frontiers in Plant Science;2016-04-08

5. The Statistical Approach to Biological Event Extraction Using Markov’s Method;Trends in Applied Knowledge-Based Systems and Data Science;2016

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