Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework (2024)
- Authors:
- USP affiliated authors: MACHADO, MATEUS TARCINALLI - FFCLRP ; RUIZ, EVANDRO EDUARDO SERON - FFCLRP
- Unidade: FFCLRP
- Subjects: LINGUAGEM DE MÁQUINA; PROCESSAMENTO DE LINGUAGEM NATURAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: ACL
- Publisher place: Stroudsburg
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: International Conference on Computational Processing of Portuguese - PROPOR
-
ABNT
MACHADO, Mateus Tarcinalli e RUIZ, Evandro Eduardo Seron. Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.pdf. Acesso em: 29 dez. 2025. -
APA
Machado, M. T., & Ruiz, E. E. S. (2024). Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.pdf -
NLM
Machado MT, Ruiz EES. Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework [Internet]. Proceedings. 2024 ;[citado 2025 dez. 29 ] Available from: https://aclanthology.org/2024.propor-1.pdf -
Vancouver
Machado MT, Ruiz EES. Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework [Internet]. Proceedings. 2024 ;[citado 2025 dez. 29 ] Available from: https://aclanthology.org/2024.propor-1.pdf - Using graph-based centrality measures for sentiment analysis
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