Author(s): De Los Reyes, Daniel ; Barcelos, Allan ; Vieira, Renata ; Manssour, Isabel
Date: 2021
Persistent ID: http://hdl.handle.net/10174/29885
Origin: Repositório Científico da Universidade de Évora
Subject(s): Named Entities; Information Extraction
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.
FCT CEECIND/01997/2017, UIDB/00057/2020
