UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition (2024)
- Authors:
- USP affiliated authors: CARVALHO, ANDRÉ CARLOS PONCE DE LEON FERREIRA DE - ICMC ; SILVA, NADIA FELIX FELIPE DA - ICMC
- Unidade: ICMC
- Subjects: RECUPERAÇÃO DA INFORMAÇÃO; APRENDIZADO COMPUTACIONAL; RECONHECIMENTO DE TEXTO; PROCESSAMENTO DE LINGUAGEM NATURAL; PORTUGUÊS DO BRASIL
- 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
ALBUQUERQUE, Hidelberg Oliveira et al. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition. 2024, Anais.. Stroudsburg: ACL, 2024. Disponível em: https://aclanthology.org/2024.propor-1.35. Acesso em: 24 dez. 2025. -
APA
Albuquerque, H. O., Souza, E. P. R., Silva, T., Gouveia, R. P., Rocha Junior, F. C., Vitório, D., et al. (2024). UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition. In Proceedings. Stroudsburg: ACL. Recuperado de https://aclanthology.org/2024.propor-1.35 -
NLM
Albuquerque HO, Souza EPR, Silva T, Gouveia RP, Rocha Junior FC, Vitório D, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition [Internet]. Proceedings. 2024 ;[citado 2025 dez. 24 ] Available from: https://aclanthology.org/2024.propor-1.35 -
Vancouver
Albuquerque HO, Souza EPR, Silva T, Gouveia RP, Rocha Junior FC, Vitório D, Silva NFF da, Carvalho ACP de LF de, Oliveira ALI de, Andrade FE de. UlyssesNERQ: expanding queries from brazilian portuguese legislative documents through named entity recognition [Internet]. Proceedings. 2024 ;[citado 2025 dez. 24 ] Available from: https://aclanthology.org/2024.propor-1.35 - Análise de sentimentos em textos curtos provenientes de redes sociais
- On the assessment of deep learning models for named entity recognition of brazilian legal documents
- Named entity recognition: a survey for the portuguese language
- Building a relevance feedback corpus for legal information retrieval in the real-case scenario of the Brazilian Chamber of Deputies
- Assessing the impact of stemming algorithms applied to brazilian legislative documents retrieval
- Not only what, but also when: understanding brazilian political comments on legislative bills over time through stance detection and topic modeling
- Ulysses-RFSQ: a novel method to improve legal information retrieval based on relevance feedback
- PLN no Direito: REN
- Using unsupervised information to improve semi-supervised tweet sentiment classification
- Tweet sentiment analysis with classifier ensembles
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