Data
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BioCreative III PPI ACT dataset - submitted by krallinger 0 views, 11353 downloads, 0 comments
last edited by krallinger - Dec 31, 2012, 12:22 CET Rating
- Summary:
Dataset used for the article classification task of BioCreative III (see http://www.biocreative.org/tasks/biocreative-iii/ppi/)
- License: unknown
- Tags: article Biocreative categorization Classification ranking text
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: zip (38.5 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
Dataset used for the article classification task of BioCreative III (see http://www.biocreative.org/tasks/biocreative-iii/ppi/)
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CHEMDNER task of BioCreative IV - submitted by krallinger 1 view, 2179 downloads, 0 comments
last edited by krallinger - Jul 14, 2015, 11:16 CET Rating
- Summary:
CHEMDNER Task: Chemical compound and drug name recognition task
- License: unknown
- Tags: abstracts Biocreative bionlp chemdner chemical compounds CRFs entity Learning machine Named NER PubMed recognition supervised
- Tasks / Methods / Challenges: 4 tasks, 0 methods, 0 challenges
- Download: tar.gz (18.3 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
CHEMDNER Task: Chemical compound and drug name recognition task
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CHEMDNER-training - submitted by krallinger 2 views, 2272 downloads, 0 comments
last edited by krallinger - Aug 1, 2013, 17:29 CET Rating
- Summary:
CHEMDNER training set: Chemical compound and drug name recognition task
- License: unknown
- Tags: Biocreative bionlp chemdner entity Named NER recognition
- Tasks / Methods / Challenges: 0 tasks, 0 methods, 0 challenges
- Download: tar (7.2 MB)
- Files are converted on demand and the process can take up to a minute. Please wait until download begins.
- Summary:
CHEMDNER training set: Chemical compound and drug name recognition task
Disclaimer
We are acting in good faith to make datasets submitted for the use of the scientific community available to everybody, but if you are a copyright holder and would like us to remove a dataset please inform us and we will do it as soon as possible.
Acknowledgements
This project is supported by PASCAL (Pattern Analysis, Statistical Modelling and Computational Learning)
http://www.pascal-network.org/.