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BO-LSTM
Model to detect and classify relations in text, representing each entity of domain-specific ontologies as the sequence of its ancestors in the ontology. BO-LSTM is implemented as a recurrent neural network with long short-term memory units and using open biomedical ontologies.
ACM Computing Classification System: ComputingMethodologies_GENERAL
Natural language processing, Ontology and terminology, Molecular interactions, pathways and networks
Natural language processing, Ontology and terminology, Molecular interactions, pathways and networks
ACM Computing Classification System: ComputingMethodologies_GENERAL
1 Research products, page 1 of 1
- Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
- Project Code: PD/BD/106083/2015
- Funding stream: OE
- Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
- Project Code: PTDC/CCI-BIO/28685/2017
- Funding stream: 3599-PPCDT
- Funder: Fundação para a Ciência e a Tecnologia, I.P. (FCT)
- Project Code: UID/CEC/00408/2013
- Funding stream: 6817 - DCRRNI ID
Model to detect and classify relations in text, representing each entity of domain-specific ontologies as the sequence of its ancestors in the ontology. BO-LSTM is implemented as a recurrent neural network with long short-term memory units and using open biomedical ontologies.