1. Repositório Institucional da UFMG
2. Publicações Científicas e Culturais
3. Artigo de Evento

Type:	Artigo de Evento
Title:	PUCRJ-PUCPR-UFMG at eHealth-KD Challenge 2021: a multilingual BERT-based system for joint entity recognition and relation extraction
Authors:	Thiago Castro Ferreira João Vitor Andrioli de Souza Lucas Ferro Antunes de Oliveira Lucas Emanuel Silva e Oliveira Claudia Moro Barra Emerson Cabrera Paraíso Yohan Bonescki Gumiel Adriana Silvina Pagano Giovanni Pazini Meneghel Paiva Elisa Terumi Rubel Schneider Lucas Pavanelli
Abstract:	This study introduces the system submitted to the eHealthKD Challenge 2021 by the PUCRJ-PUCPR-UFMG team. We proposed a multilingual BERT-based system for joint entity recognition and relation extraction in multidomain texts. Our end-to-end multitasking model benefits from the transformer architecture, which has proved to capture better the global dependencies of the input text. Also, the use of a multilingual model contributed to our system to perform well even in the set of tests containing non-Spanish sentences. Our system ranked first in the entity recognition task and second in the Main scenario, where both tasks of entity recognition and relation extraction had to be solved. The full code of our approach and more details of the implementation are publicly available
Subject:	Processamento da linguagem natural (Computação) Informática na medicina
language:	eng
metadata.dc.publisher.country:	Brasil
Publisher:	Universidade Federal de Minas Gerais
Publisher Initials:	UFMG
metadata.dc.publisher.department:	FALE - FACULDADE DE LETRAS
Rights:	Acesso Aberto
URI:	http://hdl.handle.net/1843/66341
Issue Date:	2021
metadata.dc.url.externa:	https://ceur-ws.org/Vol-2943/ehealth_paper3.pdf
metadata.dc.relation.ispartof:	Iberian Languages Evaluation Forum
Appears in Collections:	Artigo de Evento

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.