Linguistic rules for fine-grained opinion extraction (2020)
- Authors:
- USP affiliated authors: PARDO, THIAGO ALEXANDRE SALGUEIRO - ICMC ; VARGAS, FRANCIELLE ALVES - ICMC
- Unidade: ICMC
- DOI: 10.36190/2020.24
- Subjects: RECONHECIMENTO DE TEXTO; PROCESSAMENTO DE LINGUAGEM NATURAL; LINGUÍSTICA COMPUTACIONAL
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: AAAI Press
- Publisher place: Palo Alto
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: International AAAI Conference on Web and Social Media - ICWSM
- Este periódico é de acesso aberto
- Este artigo NÃO é de acesso aberto
-
ABNT
VARGAS, Francielle Alves e PARDO, Thiago Alexandre Salgueiro. Linguistic rules for fine-grained opinion extraction. 2020, Anais.. Palo Alto: AAAI Press, 2020. Disponível em: https://doi.org/10.36190/2020.24. Acesso em: 26 dez. 2025. -
APA
Vargas, F. A., & Pardo, T. A. S. (2020). Linguistic rules for fine-grained opinion extraction. In Proceedings. Palo Alto: AAAI Press. doi:10.36190/2020.24 -
NLM
Vargas FA, Pardo TAS. Linguistic rules for fine-grained opinion extraction [Internet]. Proceedings. 2020 ;[citado 2025 dez. 26 ] Available from: https://doi.org/10.36190/2020.24 -
Vancouver
Vargas FA, Pardo TAS. Linguistic rules for fine-grained opinion extraction [Internet]. Proceedings. 2020 ;[citado 2025 dez. 26 ] Available from: https://doi.org/10.36190/2020.24 - Context-aware and expert data resources for brazilian portuguese hate speech detection
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- Toward discourse-aware models for multilingual fake news detection
- Rhetorical structure approach for online deception detection: a survey
- Socially responsible and explainable automated fact-checking and hate speech detection
- Improving explainable fact-checking via sentence-level factual reasoning
- Studying dishonest intentions in brazilian portuguese texts
- Discourse annotation guideline for low-resource languages
- HausaHate: an expert annotated corpus for hausa hate speech detection
- Socially responsible and explainable automated fact-checking and hate speech detection
Informações sobre o DOI: 10.36190/2020.24 (Fonte: oaDOI API)
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