Evaluating semantic similarity methods to build semantic predictability norms of reading data (2021)
Leal, Sidney Evaldo 
; Casanova, Edresson ; Paetzold, Gustavo Henrique ; Aluísio, Sandra Maria
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
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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: 05 nov. 2025. , 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 2025 nov. 05 ] 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 2025 nov. 05 ] Available from: https://doi.org/10.1007/978-3-030-83527-9_3
