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Title: Related Named Entities Classification in the Economic-Financial Context
Authors: De Los Reyes, Daniel
Barcelos, Allan
Vieira, Renata
Manssour, Isabel
Keywords: Named Entities
Information Extraction
Issue Date: 19-Apr-2021
Publisher: ACL Anthology
Citation: De Los Reyes, D., Barcelos, A., Vieira, R., Manssour, I. Related Named Entities Classification in the Economic-Financial Context. Proceedings of the EACL Hackashop on News Media Content Analysis and Automated Report Generation. 2021. ACL Anthology.
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.
Type: article
Appears in Collections:CIDEHUS - Artigos em Livros de Actas/Proceedings

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