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• W3153404013 abstract "The present work uses the Bidirectional Encoder Representations from Transformers (BERT) to process a sentence and its entities and indicate whether two named entities present in a sentence are related or not, constituting a binary classification problem. It was developed for the Portuguese language, considering the financial domain and exploring deep linguistic representations to identify a relation between entities without using other lexical-semantic resources. The results of the experiments show an accuracy of 86% of the predictions." @default.
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• W3153404013 date "2021-04-01" @default.
• W3153404013 modified "2023-09-24" @default.
• W3153404013 title "Related Named Entities Classification in the Economic-Financial Context" @default.
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