no code implementations • 18 May 2022 • Maira Gatti de Bayser
Nowadays there are algorithms, methods, and platforms that are being created to accelerate the discovery of materials that are able to absorb or adsorb $CO_2$ molecules that are in the atmosphere or during the combustion in power plants, for instance.
no code implementations • 16 Dec 2020 • Claudio Pinhanez, Paulo Cavalin, Victor Ribeiro, Heloisa Candello, Julio Nogima, Ana Appel, Mauro Pichiliani, Maira Gatti de Bayser, Melina Guerra, Henrique Ferreira, Gabriel Malfatti
By using neuro-symbolic algorithms able to incorporate such proto-taxonomies to expand intent representation, we show that such mined meta-knowledge can improve accuracy in intent recognition.
no code implementations • 14 Jan 2020 • Maira Gatti de Bayser, Melina Alberio Guerra, Paulo Cavalin, Claudio Pinhanez
To predict the next most likely participant to interact in a multi-party conversation is a difficult problem.
no code implementations • 3 Jul 2019 • Maira Gatti de Bayser, Paulo Cavalin, Claudio Pinhanez, Bianca Zadrozny
This paper investigates the application of machine learning (ML) techniques to enable intelligent systems to learn multi-party turn-taking models from dialogue logs.
no code implementations • 3 May 2017 • Maira Gatti de Bayser, Paulo Cavalin, Renan Souza, Alan Braz, Heloisa Candello, Claudio Pinhanez, Jean-Pierre Briot
Multi-party Conversational Systems are systems with natural language interaction between one or more people or systems.