3 papers
cs.AI2022
Estimating productivity gains in digital automation
Mauricio Jacobo-Romero, Danilo S. Carvalho, André Freitas
This paper proposes a novel productivity estimation model to evaluate the effects of adopting Artificial Intelligence (AI) components in a production chain. Our model provides evid…
cs.CL2022
Systematicity, Compositionality and Transitivity of Deep NLP Models: a Metamorphic Testing Perspective
Edoardo Manino, Julia Rozanova, Danilo Carvalho +2
Metamorphic testing has recently been used to check the safety of neural NLP models. Its main advantage is that it does not rely on a ground truth to generate test cases. However,…
cs.IR2017
Improving Legal Information Retrieval by Distributional Composition with Term Order Probabilities
Danilo S. Carvalho, Duc-Vu Tran, Van-Khanh Tran +1
Legal professionals worldwide are currently trying to get up-to-pace with the explosive growth in legal document availability through digital means. This drives a need for high eff…