1 code implementation • WOSP 2020 • Claudio Moisés Valiense de Andrade, Marcos André Gonçalves
Classifying the context of an article citation or its influence/importance in an automated way presents a challenge for machine learning algorithms due to the shortage of information and inherently ambiguity of the task.
no code implementations • RANLP 2021 • Thiago castro Ferreira, João Victor de Pinho Costa, Isabela Rigotto, Vitoria Portella, Gabriel Frota, Ana Luisa A. R. Guimarães, Adalberto Penna, Isabela Lee, Tayane A. Soares, Sophia Rolim, Rossana Cunha, Celso França, Ariel Santos, Rivaney F. Oliveira, Abisague Langbehn, Daniel Hasan Dalip, Marcos André Gonçalves, Rodrigo Bastos Fóscolo, Adriana Pagano
This study describes the development of a Portuguese Community-Question Answering benchmark in the domain of Diabetes Mellitus using a Recognizing Question Entailment (RQE) approach.
no code implementations • 5 Oct 2023 • Washington Cunha, Celso França, Leonardo Rocha, Marcos André Gonçalves
In this paper, we propose TPDR, a two-step Transformer-based Product and Class Description Retrieval method that is able to explore the semantic correspondence between IS and SD, by exploiting attention mechanisms and contrastive learning.
no code implementations • 6 Dec 2015 • Filipe Nunes Ribeiro, Matheus Araújo, Pollyanna Gonçalves, Fabrício Benevenuto, Marcos André Gonçalves
In the last few years thousands of scientific papers have investigated sentiment analysis, several startups that measure opinions on real data have emerged and a number of innovative products related to this theme have been developed.