Proceedings of the first International TEXT2SPARQL Challenge (2025)
- Authors:
- Autor USP: GÔLO, MARCOS PAULO SILVA - ICMC
- Unidade: ICMC
- Assunto: PROCESSAMENTO DE LINGUAGEM NATURAL
- Language: Inglês
- Imprenta:
- Source:
- ISSN: 1613-0073
- Conference titles: TEXT2SPARQL Challenge
-
ABNT
GÔLO, Marcos Paulo Silva. Proceedings of the first International TEXT2SPARQL Challenge. . Aachen: CEUR-WS. Disponível em: https://ceur-ws.org/Vol-4094/. Acesso em: 13 fev. 2026. , 2025 -
APA
Gôlo, M. P. S. (2025). Proceedings of the first International TEXT2SPARQL Challenge. Aachen: CEUR-WS. Recuperado de https://ceur-ws.org/Vol-4094/ -
NLM
Gôlo MPS. Proceedings of the first International TEXT2SPARQL Challenge [Internet]. 2025 ;[citado 2026 fev. 13 ] Available from: https://ceur-ws.org/Vol-4094/ -
Vancouver
Gôlo MPS. Proceedings of the first International TEXT2SPARQL Challenge [Internet]. 2025 ;[citado 2026 fev. 13 ] Available from: https://ceur-ws.org/Vol-4094/ - Text Representation through Multimodal Variational Autoencoder for One-Class Learning
- Preface of the First International TEXT2SPARQL Challenge (TEXT2SPARQL’25) [Prefácio]
- Improving natural product knowledge extraction from academic literature with enhanced PDF text extraction and large language models
- Tracking free-ranging pantaneiro sheep during extreme drought in the Pantanal through precision technologies
- Text representation through multimodal variational autoencoder for one-class learning
- One-class learning for data stream through graph neural networks
- On the use of large language models to detect brazilian politics fake news
- Triple-VAE: a triple variational autoencoder to represent events in one-class event detection
- Learning to sense from events via semantic variational autoencoder
- Text representation through multimodal variational autoencoder for one-class learning
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