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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…