Provider:
The National Centre for Text Mining (NaCTeM)
Location:
Manchester, UNITED KINGDOM
Submitter/Source:
Giorgos (over 9 years ago)
Base URL:
http://lithium.mib.man.ac.uk:8080/UCompareRestServices/NeMine
Documentation URL(s): None Login to add a documentation URL Description(s): Giorgos(over 9 years ago)
Detects Gene and Protein Named Entities, CRF trained on Genia Corpus/JNLPBA-2004 shared task data with BioThesaurus as dictionary.
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Georgios Kontonatsios: kontonag [at] cs.man.ac.uk
Login to add contact info How to cite this service: No info yet Login to add how to cite info Publications about this service: for this service (this can be in a common citation format like Bibtex, MLA or APA, a DOI, a URL, etc.) Giorgos(over 9 years ago)
Sasaki, Y., Tsuruoka, Y., McNaught, J. and Ananiadou, S. (2008). How to make the most of NE dictionaries in statistical NER. In: BMC Bioinformatics, 9(Suppl 11), S5
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