Claudio Pinhanez | DeepAI

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∙ 05/18/2022

Exploring the Advantages of Dense-Vector to One-Hot Encoding of Intent Classes in Out-of-Scope Detection Tasks

This work explores the intrinsic limitations of the popular one-hot enco...

0 Claudio Pinhanez, et al. ∙

∙ 12/16/2020

Using Meta-Knowledge Mined from Identifiers to Improve Intent Recognition in Neuro-Symbolic Algorithms

In this paper we explore the use of meta-knowledge embedded in intent id...

0 Claudio Pinhanez, et al. ∙

∙ 01/14/2020

A Hybrid Solution to Learn Turn-Taking in Multi-Party Service-based Chat Groups

To predict the next most likely participant to interact in a multi-party...

0 Maira Gatti de Bayser, et al. ∙

∙ 08/19/2019

Machine Teaching by Domain Experts: Towards More Humane,Inclusive, and Intelligent Machine Learning Systems

This paper argues that a possible way to escape from the limitations of ...

0 Claudio Pinhanez, et al. ∙

∙ 07/03/2019

Learning Multi-Party Turn-Taking Models from Dialogue Logs

This paper investigates the application of machine learning (ML) techniq...

0 Maira Gatti de Bayser, et al. ∙

∙ 12/08/2017

Computer Interfaces to Organizations: Perspectives on Borg-Human Interaction Design

We use the term borg to refer to the complex organizations composed of p...

0 Claudio Pinhanez, et al. ∙

∙ 05/03/2017

A Hybrid Architecture for Multi-Party Conversational Systems

Multi-party Conversational Systems are systems with natural language int...

0 Maira Gatti de Bayser, et al. ∙

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