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  2. Daniel Sánchez Cisneros

A web prototype for detecting chemical compounds and drugs.

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Combining Dictionaries and Ontologies for Drug Name Recognition in Biomedical Texts

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Recognizing Chemical Compounds and Drugs: a Rule-Based Approach Using Semantic Information.

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UEM-UC3M: An Ontology-based named entity recognition system for biomedical texts.

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UC3M: A kernel-based approach to identify and classify DDIs in bio-medical texts.

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An Approach for Detecting Modality and Negation in Texts by using Rule-based Techniques.

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Medical information search and information extraction about drugs prototype on a multilingual corpus.

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Proceedings of the 1st Challenge Task on Drug-Drug Interaction Extraction 2011

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The 1st DDIExtraction-2011 Challenge Task: Extraction of Drug-Drug Interactions from Biomedical Texts

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DDIExtractor: A web-based java tool for extracting Drug-Drug Interactions from biomedical texts.

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Dirección

 

Departamento de Informática
Escuela Politécnica Superior Universidad Carlos III de Madrid

Av. Universidad, 30, Edificio Sabatini, Leganés (Madrid).
Código postal: 28911

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Contacto

 

Tel: +34 91 624 9454

Fax: +34 91 624 9129

Responsables de Grupo:
Paloma Martínez Fernández

Belén Ruiz Mezcua

 

 

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