research
∙
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...
share
research
∙
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...
research
∙
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...
research
∙
07/03/2019
Learning Multi-Party Turn-Taking Models from Dialogue Logs
This paper investigates the application of machine learning (ML) techniq...
research
∙
08/24/2018
Different but Equal: Comparing User Collaboration with Digital Personal Assistants vs. Teams of Expert Agents
This work compares user collaboration with conversational personal assis...
research
∙
05/03/2017