A logical-based corpus for cross-lingual evaluation (2019)
- Authors:
- USP affiliated authors: FINGER, MARCELO - IME ; HIRATA JUNIOR, ROBERTO - IME ; SALVATORE, FELIPE DE SOUZA - IME
- Unidade: IME
- Assunto: APRENDIZAGEM PROFUNDA
- Agências de fomento:
- Language: Inglês
- Imprenta:
- Publisher: Association for Computational Linguistics (ACL)
- Publisher place: Stroudsburg
- Date published: 2019
- Source:
- Título do periódico: Proceedings
- Conference titles: Workshop on Deep Learning Approaches for Low-Resource NLP - DeepLo
-
ABNT
SALVATORE, Felipe de Souza e FINGER, Marcelo e HIRATA JÚNIOR, Roberto. A logical-based corpus for cross-lingual evaluation. 2019, Anais.. Stroudsburg: Association for Computational Linguistics (ACL), 2019. Disponível em: https://www.aclweb.org/anthology/D19-6103.pdf. Acesso em: 07 maio 2024. -
APA
Salvatore, F. de S., Finger, M., & Hirata Júnior, R. (2019). A logical-based corpus for cross-lingual evaluation. In Proceedings. Stroudsburg: Association for Computational Linguistics (ACL). Recuperado de https://www.aclweb.org/anthology/D19-6103.pdf -
NLM
Salvatore F de S, Finger M, Hirata Júnior R. A logical-based corpus for cross-lingual evaluation [Internet]. Proceedings. 2019 ;[citado 2024 maio 07 ] Available from: https://www.aclweb.org/anthology/D19-6103.pdf -
Vancouver
Salvatore F de S, Finger M, Hirata Júnior R. A logical-based corpus for cross-lingual evaluation [Internet]. Proceedings. 2019 ;[citado 2024 maio 07 ] Available from: https://www.aclweb.org/anthology/D19-6103.pdf - A resampling-based method to evaluate NLI models
- Using neural models to perform inference
- Analyzing natural language inference from a rigorous point of view
- Topics in modal quantification theory
- Positive definite kernel functions on fuzzy sets
- Optical mark recognition: advances, difculties, and imitations
- Cross product kernels for fuzzy set similarity
- Combining features to a class-specific model in an instance detection framework
- Parameter estimation for ridge detection in images with thin structures
- A modeling approach for credit card fraud detection in electronic payment services
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