3 papers
cs.CL2020
Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms
Claudio Pinhanez, Paulo Cavalin, Victor Ribeiro +8
In this paper we explore the use of meta-knowledge embedded in intent identifiers to improve intent recognition in conversational systems. As evidenced by the analysis of thousands…
cs.CL2020
A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups
Maira Gatti de Bayser, Melina Alberio Guerra, Paulo Cavalin +1
To predict the next most likely participant to interact in a multi-party conversation is a difficult problem. In a text-based chat group, the only information available is the send…
cs.HC2018
Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents
Claudio S. Pinhanez, Heloisa Candello, Mauro C. Pichiliani +4
This work compares user collaboration with conversational personal assistants vs. teams of expert chatbots. Two studies were performed to investigate whether each approach affects…