11 citations · 28 across the 9 of their papers we have counts for
9 papers
Exploring the Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Out-of-Scope Detection Tasks
Claudio Pinhanez, Paulo Cavalin
This work explores the intrinsic limitations of the popular one-hot encoding method in classification of intents when detection of out-of-scope (OOS) inputs is required. Although r…
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…
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…
Learning Multi-Party Turn-Taking Models from Dialogue Logs
Maira Gatti de Bayser, Paulo Cavalin, Claudio Pinhanez +1
This paper investigates the application of machine learning (ML) techniques to enable intelligent systems to learn multi-party turn-taking models from dialogue logs. The specific M…
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…
Combining Textual Content and Structure to Improve Dialog Similarity
Ana Paula Appel, Paulo Rodrigo Cavalin, Marisa Affonso Vasconcelos +1
Chatbots, taking advantage of the success of the messaging apps and recent advances in Artificial Intelligence, have become very popular, from helping business to improve customer…