no code implementations • 22 Oct 2023 • André Levi Zanon, Marcelo Garcia Manzato, Leonardo Rocha
The findings show the proposed offline metrics can effectively measure the performance of explanation algorithms and highlight a trade-off between the goals of transparency and trust, which are related to popular properties, and the goals of engagement and persuasiveness, which are associated with the diversification of properties displayed to users.
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 • ACL 2020 • Felipe Viegas, Washington Cunha, Christian Gomes, Ant{\^o}nio Pereira, Leonardo Rocha, Marcos Goncalves
Hierarchical Topic modeling (HTM) exploits latent topics and relationships among them as a powerful tool for data analysis and exploration.