Evaluating semantic similarity methods to build semantic predictability norms of reading data (2021)
Fonte: Lecture Notes in Artificial Intelligence. Nome do evento: International Conference on Text, Speech, and Dialogue - TSD. Unidade: ICMC
Assuntos: PROCESSAMENTO DE LINGUAGEM NATURAL, LINGUÍSTICA DE CORPUS, SEMÂNTICA, PORTUGUÊS DO BRASIL
ABNT
LEAL, Sidney Evaldo et al. Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. Disponível em: https://doi.org/10.1007/978-3-030-83527-9_3. Acesso em: 14 nov. 2024. , 2021APA
Leal, S. E., Casanova, E., Paetzold, G. H., & Aluísio, S. M. (2021). Evaluating semantic similarity methods to build semantic predictability norms of reading data. Lecture Notes in Artificial Intelligence. Cham: Springer. doi:10.1007/978-3-030-83527-9_3NLM
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3Vancouver
Leal SE, Casanova E, Paetzold GH, Aluísio SM. Evaluating semantic similarity methods to build semantic predictability norms of reading data [Internet]. Lecture Notes in Artificial Intelligence. 2021 ; 12848 35-47.[citado 2024 nov. 14 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3