Cross-domain Author Gender Classification in Brazilian Portuguese (2020)
- Authors:
- Autor USP: PARABONI, IVANDRE - EACH
- Unidade: EACH
- Subjects: RECONHECIMENTO DE PADRÕES; RECONHECIMENTO DE TEXTO; INTELIGÊNCIA ARTIFICIAL
- Language: Inglês
- Imprenta:
- Publisher: European Language Resources Association
- Publisher place: Paris
- Date published: 2020
- Source:
- Título: Proceedings
- Conference titles: Conference on Language Resources and Evaluation - LREC
-
ABNT
DIAS, Rafael Felipe Sandroni e PARABONI, Ivandre. Cross-domain Author Gender Classification in Brazilian Portuguese. 2020, Anais.. Paris: European Language Resources Association, 2020. Disponível em: https://www.aclweb.org/anthology/2020.lrec-1.154.pdf. Acesso em: 14 mar. 2026. -
APA
Dias, R. F. S., & Paraboni, I. (2020). Cross-domain Author Gender Classification in Brazilian Portuguese. In Proceedings. Paris: European Language Resources Association. Recuperado de https://www.aclweb.org/anthology/2020.lrec-1.154.pdf -
NLM
Dias RFS, Paraboni I. Cross-domain Author Gender Classification in Brazilian Portuguese [Internet]. Proceedings. 2020 ;[citado 2026 mar. 14 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.154.pdf -
Vancouver
Dias RFS, Paraboni I. Cross-domain Author Gender Classification in Brazilian Portuguese [Internet]. Proceedings. 2020 ;[citado 2026 mar. 14 ] Available from: https://www.aclweb.org/anthology/2020.lrec-1.154.pdf - Zoom: a corpus of natural language descriptions of map locations
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- Personality-dependent neural text summarization
- Stacked authorship attribution of digital texts
- Building referring expression corpora with and without feedback
- Personality-dependent content selection in natural language generation systems
- Deteccção de posicionamentos a partir de textosusando expansão semiautomática de córpus
- Detecção de quebras em diálogos humano-computador
- Politically-oriented information inference from text
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