Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models (2025)
- Authors:
- USP affiliated authors: MARCACINI, RICARDO MARCONDES - ICMC ; GÔLO, MARCOS PAULO SILVA - ICMC
- Unidade: ICMC
- DOI: 10.1145/3672608.3707858
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; DESCOBERTA DE CONHECIMENTO; TEORIA DOS GRAFOS; PRODUTOS NATURAIS; FÁRMACOS
- Keywords: Natural Products; Knowledge Extraction; Large Language Models
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Source:
- Título: Proceedings
- Conference titles: ACM/SIGAPP Symposium on Applied Computing
- Este periódico é de assinatura
- Este artigo NÃO é de acesso aberto
- Cor do Acesso Aberto: closed
-
ABNT
CARMO, Paulo Viviurka do et al. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models. 2025, Anais.. New York: ACM, 2025. Disponível em: https://doi.org/10.1145/3672608.3707858. Acesso em: 04 ago. 2025. -
APA
Carmo, P. V. do, Gôlo, M. P. S., Gwozdz, J., Marx, E., & Marcacini, R. M. (2025). Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models. In Proceedings. New York: ACM. doi:10.1145/3672608.3707858 -
NLM
Carmo PV do, Gôlo MPS, Gwozdz J, Marx E, Marcacini RM. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models [Internet]. Proceedings. 2025 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.1145/3672608.3707858 -
Vancouver
Carmo PV do, Gôlo MPS, Gwozdz J, Marx E, Marcacini RM. Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models [Internet]. Proceedings. 2025 ;[citado 2025 ago. 04 ] Available from: https://doi.org/10.1145/3672608.3707858 - Learning to sense from events via semantic variational autoencoder
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Informações sobre o DOI: 10.1145/3672608.3707858 (Fonte: oaDOI API)
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