1 citations · 2 across the 5 of their papers we have counts for
5 papers
A thorough benchmark of automatic text classification: From traditional approaches to large language models
Washington Cunha, Leonardo Rocha, Marcos André Gonçalves
Automatic text classification (ATC) has experienced remarkable advancements in the past decade, best exemplified by recent small and large language models (SLMs and LLMs), leverage…
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…
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…
TPDR: A Novel Two-Step Transformer-based Product and Class Description Match and Retrieval Method
Washington Cunha, Celso França, Leonardo Rocha +1
There is a niche of companies responsible for intermediating the purchase of large batches of varied products for other companies, for which the main challenge is to perform produc…