1 citations · 2 across the 6 of their papers we have counts for
4 papers · 1 filter
A Strategy to Combine 1stGen Transformers and Open LLMs for Automatic Text Classification
Claudio M. V. de Andrade, Washington Cunha, Davi Reis +3
Transformer models have achieved state-of-the-art results, with Large Language Models (LLMs), an evolution of first-generation transformers (1stTR), being considered the cutting ed…
PATopics: An automatic framework to extract useful information from pharmaceutical patents documents
Pablo Cecilio, Antônio Perreira, Juliana Santos Rosa Viegas +5
Pharmaceutical patents play an important role by protecting the innovation from copies but also drive researchers to innovate, create new products, and promote disruptive innovatio…
Is it a work or leisure travel? Applying text classification to identify work-related travel on social networks
Lucas Félix, Washington Cunha, Jussara Almeida
In today's digital era, the use of Social Networks (SNs) and Location-Based SNs (LBSNs) has become integral for travelers seeking Points of Interest (POI) and sharing travel experi…
A Novel Two-Step Fine-Tuning Pipeline for Cold-Start Active Learning in Text Classification Tasks
Fabiano Belém, Washington Cunha, Celso França +3
This is the first work to investigate the effectiveness of BERT-based contextual embeddings in active learning (AL) tasks on cold-start scenarios, where traditional fine-tuning is…