Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Evelin Amorim"'
Autor:
Brenda Santana, Ricardo Campos, Evelin Amorim, Alípio Jorge, Purificação Silvano, Sérgio Nunes
Publikováno v:
Artificial Intelligence Review.
Narratives are present in many forms of human expression and can be understood as a fundamental way of communication between people. Computational understanding of the underlying story of a narrative, however, may be a rather complex task for both li
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2b2412d5e2dd1c71e50671c7ae4590a4
https://doi.org/10.1007/s10462-022-10338-7
https://doi.org/10.1007/s10462-022-10338-7
Publikováno v:
NAACL-HLT
Studies in Social Sciences have revealed that when people evaluate someone else, their evaluations often reflect their biases. As a result, rater bias may introduce highly subjective factors that make their evaluations inaccurate. This may affect aut
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48c349c9c3612c58a1cde20755306487
https://doi.org/10.18653/v1/n18-1021
https://doi.org/10.18653/v1/n18-1021
Autor:
Adriano Veloso, Evelin Amorim
Publikováno v:
EACL (Student Research Workshop)
Several methods for automatic essay scoring (AES) for English language have been proposed. However, multi-aspect AES systems for other languages are unusual. Therefore, we propose a multi-aspect AES system to apply on a dataset of Brazilian Portugues
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::212f1ac16d2de22d1d41e056c35f4611
https://doi.org/10.18653/v1/e17-4010
https://doi.org/10.18653/v1/e17-4010
Autor:
Evelin Amorim
Search engines manage several types of challenges daily. One of those challenges is locating relevant content in a Web page. However, the concept of relevance in information retrieval depends on the problem to be solved. For instance, the menu of a w
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9cf933421c03d80ee3bc4d9bdb0ce77f
https://doi.org/10.4018/978-1-4666-7262-8.ch005
https://doi.org/10.4018/978-1-4666-7262-8.ch005
Publikováno v:
SAC
Cross validation is fundamental to machine learning as it provides a reliable way in which to evaluate algorithms and the overall quality of the corpora in use. In typical cross validation, the corpus is initially divided into learning and training s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8a24bf6e9d01c3d4d333da8f94fd598b
https://doi.org/10.1145/2245276.2245367
https://doi.org/10.1145/2245276.2245367