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UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.
Daniel Sanchez-Cisneros
|
Fernando Aparicio Gali
|
Paper Details:
Month: June
Year: 2013
Location: Atlanta, Georgia, USA
Venue:
*SEMEVAL |
Citations
URL
SemEval-2013 Task 9 : Extraction of Drug-Drug Interactions from Biomedical Texts (DDIExtraction 2013)
Isabel Segura-Bedmar
|
Paloma Martínez
|
María Herrero-Zazo
|
http://www.cs.york.ac.uk/semeval-
http://www.drugbank.ca/
http://www.genome.jp/kegg/
http://pubchem.ncbi.nlm.nih.gov/
http://www.drugs.com/
http://www.medispan.com/medi-span-electronic-drug-
http://www.fdbhealth.com/fdb-medknowledge/
http://www.obofoundry.org/ro/
http://www.nlm.nih.gov/pubs/factsheets/mesh.html
http://www.whocc.no/atc_ddd_index/
http://www.ncbi.nlm.nih.gov/mesh/67055162
http://labda.inf.uc3m.es/multimedica/
Field Of Study
Linguistic Trends
Ontologies
Task
Named Entity Recognition
Relation Extraction
Biomedical
Language
English
Dataset
Biomedical Texts
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