Improving explainable fact-checking via sentence-level factual reasoning (2024)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC
- Unidade: ICMC
- Subjects: PROCESSAMENTO DE LINGUAGEM NATURAL; PORTUGUÊS DO BRASIL; FAKE NEWS
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Association for Computational Linguistics
- Publisher place: Kerrville
- Date published: 2024
- Source:
- Título: Proceedings
- Conference titles: Fact Extraction and Verification Workshop - FEVER
-
ABNT
VARGAS, Francielle Alves et al. Improving explainable fact-checking via sentence-level factual reasoning. 2024, Anais.. Kerrville: Association for Computational Linguistics, 2024. Disponível em: https://aclanthology.org/2024.fever-1.23. Acesso em: 28 dez. 2025. -
APA
Vargas, F. A., Salles, I., Alves, D., Agrawal, A., Pardo, T. A. S., & Benevenuto, F. (2024). Improving explainable fact-checking via sentence-level factual reasoning. In Proceedings. Kerrville: Association for Computational Linguistics. Recuperado de https://aclanthology.org/2024.fever-1.23 -
NLM
Vargas FA, Salles I, Alves D, Agrawal A, Pardo TAS, Benevenuto F. Improving explainable fact-checking via sentence-level factual reasoning [Internet]. Proceedings. 2024 ;[citado 2025 dez. 28 ] Available from: https://aclanthology.org/2024.fever-1.23 -
Vancouver
Vargas FA, Salles I, Alves D, Agrawal A, Pardo TAS, Benevenuto F. Improving explainable fact-checking via sentence-level factual reasoning [Internet]. Proceedings. 2024 ;[citado 2025 dez. 28 ] Available from: https://aclanthology.org/2024.fever-1.23 - Context-aware and expert data resources for brazilian portuguese hate speech detection
- Aspect clustering for sentiment analysis
- Rhetorical structure approach for online deception detection: a survey
- Socially responsible and explainable automated fact-checking and hate speech detection
- Toward discourse-aware models for multilingual fake news detection
- HausaHate: an expert annotated corpus for hausa hate speech detection
- Linguistic rules for fine-grained opinion extraction
- Socially responsible and explainable automated fact-checking and hate speech detection
- Predicting sentence-level factuality of news and bias of media outlets
- Studying dishonest intentions in brazilian portuguese texts
Download do texto completo
| Tipo | Nome | Link | |
|---|---|---|---|
| 3221448.pdf | Direct link |
How to cite
A citação é gerada automaticamente e pode não estar totalmente de acordo com as normas
