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Trabalho de evento
Evaluating large language models for the tasks of PoS tagging within the Universal Dependency framework (2024)
Machado, Mateus Tarcinalli ; Ruiz, Evandro Eduardo Seron
Source: Proceedings. Conference titles: International Conference on Computational Processing of Portuguese - PROPOR. Unidade: FFCLRP
Subjects: LINGUAGEM DE MÁQUINA, PROCESSAMENTO DE LINGUAGEM NATURAL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
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: 08 out. 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 out. 08 ] 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 out. 08 ] Available from: https://aclanthology.org/2024.propor-1.pdf
Trabalho de evento
Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects (2022)
Machado, Mateus Tarcinalli ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference on Language Resources and Evaluation - LREC. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE PADRÕES, EMOÇÕES, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Mateus Tarcinalli e PARDO, Thiago Alexandre Salgueiro. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects. 2022, Anais.. Paris: European Language Resources Association - ELRA, 2022. Disponível em: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf. Acesso em: 08 out. 2025.
APA
Machado, M. T., & Pardo, T. A. S. (2022). Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects. In Proceedings. Paris: European Language Resources Association - ELRA. Recuperado de http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
NLM
Machado MT, Pardo TAS. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects [Internet]. Proceedings. 2022 ;[citado 2025 out. 08 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
Vancouver
Machado MT, Pardo TAS. Evaluating methods for extraction of aspect terms in opinion texts in portuguese: the challenges of implicit aspects [Internet]. Proceedings. 2022 ;[citado 2025 out. 08 ] Available from: http://www.lrec-conf.org/proceedings/lrec2022/pdf/2022.lrec-1.407.pdf
Trabalho de evento
NILC at ABSAPT 2022: aspect extraction for portuguese (2022)
Machado, Mateus Tarcinalli ; Pardo, Thiago Alexandre Salgueiro
Source: Proceedings. Conference titles: Conference of the Spanish Society for Natural Language Processing - SEPLN. Unidade: ICMC
Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL, APRENDIZADO COMPUTACIONAL, RECONHECIMENTO DE TEXTO, PORTUGUÊS DO BRASIL
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
ABNT
MACHADO, Mateus Tarcinalli e PARDO, Thiago Alexandre Salgueiro. NILC at ABSAPT 2022: aspect extraction for portuguese. 2022, Anais.. Aachen: CEUR-WS, 2022. Disponível em: http://ceur-ws.org/Vol-3202/absapt-paper2.pdf. Acesso em: 08 out. 2025.
APA
Machado, M. T., & Pardo, T. A. S. (2022). NILC at ABSAPT 2022: aspect extraction for portuguese. In Proceedings. Aachen: CEUR-WS. Recuperado de http://ceur-ws.org/Vol-3202/absapt-paper2.pdf
NLM
Machado MT, Pardo TAS. NILC at ABSAPT 2022: aspect extraction for portuguese [Internet]. Proceedings. 2022 ;[citado 2025 out. 08 ] Available from: http://ceur-ws.org/Vol-3202/absapt-paper2.pdf
Vancouver
Machado MT, Pardo TAS. NILC at ABSAPT 2022: aspect extraction for portuguese [Internet]. Proceedings. 2022 ;[citado 2025 out. 08 ] Available from: http://ceur-ws.org/Vol-3202/absapt-paper2.pdf

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