Web Service The DECA (Disease Extraction with Concept Association) REST Gb

Cog_error Archived / Deprecated

This service has been archived because it may not be active anymore (or is close to being non active). Please do not use it as it may not be accessible.

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Annotations: 15 Total number of annotations from the provider's definition / description document. 0 Total number of annotations submitted by members of BioCatalogue. 15 Total number of annotations sourced from other registries. 0

Overview

Provider:
The National Centre for Text Mining (NaCTeM)

Location:
Manchester, UNITED KINGDOM Gb

Submitter/Source:
GiorgosGb (over 9 years ago)

Base URL:
http://lithium.mib.man.ac.uk:8080/UCompareRestServices/DECA

Documentation URL(s):
None
Description(s):
by Giorgos (over 9 years ago)

The DECA (Disease Extraction with Concept Association) project concerns automatically associating concepts to entity mentions in biomedical text (e.g., MEDLINE abstracts). A considerable amount of research was put into lexical disambiguation of th

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by Giorgos (about 9 years ago)
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Publications about this service: Info
by Giorgos (over 9 years ago)
  1. Wang, X., Tsujii, J., and Ananiadou, S. (2010). Disambiguating the species of biomedical named entities using natural language parsers. Bioinformatics, 26(5), pp. 661-667. doi: 10.1093/bioinformatics/btq002

  2. Wang, X. DECA: A Species Disambiguation S

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