Washington Cunha

On the cost-effectiveness of neural and non-neural approaches and representations for text classification: A comprehensive comparative study

Washington Cunha, Vítor Mangaravite, Christian Gomes et al. · Information Processing & Management · 2021 · 88 citations

Computing, Computer Science, Data Science +16

Extended pre-processing pipeline for text classification: On the role of meta-feature representations, sparsification and selective sampling

Washington Cunha, Sérgio Canuto, Felipe Viegas et al. · Information Processing & Management · 2020 · 56 citations

Computing, Computer Science, Machine Learning +16

CluHTM - Semantic Hierarchical Topic Modeling based on CluWords

Felipe Viegas, Washington Cunha, Christian Gomes et al. · 2020 · 34 citations · Full text

Computing, Computer Science, Computational Linguistics +13

On the class separability of contextual embeddings representations – or “The classifier does not matter when the (text) representation is so good!”

Cláudio Moisés Valiense de Andrade, Fabiano Belém, Washington Cunha et al. · Information Processing & Management · 2023 · 31 citations

Computing, Computer Science, Computational Linguistics +13

An Effective, Efficient, and Scalable Confidence-based Instance Selection Framework for Transformer-Based Text Classification

Washington Cunha, Celso França, Guilherme Fonseca et al. · 2023 · 29 citations

Computing, Computer Science, Artificial Intelligence +11