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A Crowdsourced Chemical-Induced Disease Relation Corpus

Name: A Crowdsourced Chemical-Induced Disease Relation Corpus
Keywords: Natural language processing, Machine learning, Crowdsourcing, Relation extraction, BioCreative

Research datakeyboard_double_arrow_right Dataset 28 Aug 2015Publisher:Zenodo

Authors: Li, Tong Shu; Bravo, Àlex; Good, Benjamin M.; Furlong, Laura I.; Su, Andrew I.;

doi: 10.5281/zenodo.29887

A Crowdsourced Chemical-Induced Disease Relation Corpus

- Summary
- Subjects
- Metrics

Abstract

A sentence-bound chemical-induced disease relation corpus was produced with crowdsourcing as part of the BioCreative V challenge.

Related Organizations

Universitat Pompeu Fabra
Spain
Scripps Research Institute
United States

Keywords

Natural language processing, Machine learning, Crowdsourcing, Relation extraction, BioCreative

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average