POS-tags features for protein-protein interaction extraction from biomedical articles (2018)
- Authors:
- Autor USP: LOPES, ALNEU DE ANDRADE - ICMC
- Unidade: ICMC
- DOI: 10.1109/INTERCON.2018.8526370
- Subjects: APRENDIZADO COMPUTACIONAL; BIOINFORMÁTICA
- Keywords: POS-tags features; PPI extraction; Relation extraction
- Language: Inglês
- Imprenta:
- Publisher: IEEE
- Publisher place: Piscataway
- Date published: 2018
- Source:
- Título: Proceedings
- Conference titles: IEEE International Conference on Electronics, Electrical Engineering and Computing - INTERCON
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
SHIGUIHARA-JUÁREZ, Pedro e MURRUGARRA-LLERENA, Nils e LOPES, Alneu de Andrade. POS-tags features for protein-protein interaction extraction from biomedical articles. 2018, Anais.. Piscataway: IEEE, 2018. Disponível em: https://doi.org/10.1109/INTERCON.2018.8526370. Acesso em: 28 fev. 2026. -
APA
Shiguihara-Juárez, P., Murrugarra-Llerena, N., & Lopes, A. de A. (2018). POS-tags features for protein-protein interaction extraction from biomedical articles. In Proceedings. Piscataway: IEEE. doi:10.1109/INTERCON.2018.8526370 -
NLM
Shiguihara-Juárez P, Murrugarra-Llerena N, Lopes A de A. POS-tags features for protein-protein interaction extraction from biomedical articles [Internet]. Proceedings. 2018 ;[citado 2026 fev. 28 ] Available from: https://doi.org/10.1109/INTERCON.2018.8526370 -
Vancouver
Shiguihara-Juárez P, Murrugarra-Llerena N, Lopes A de A. POS-tags features for protein-protein interaction extraction from biomedical articles [Internet]. Proceedings. 2018 ;[citado 2026 fev. 28 ] Available from: https://doi.org/10.1109/INTERCON.2018.8526370 - A multi-view approach for semi-supervised scientific paper classification
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Informações sobre o DOI: 10.1109/INTERCON.2018.8526370 (Fonte: oaDOI API)
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