1 citations · 1 across the 2 of their papers we have counts for
4 papers
CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning
Alessandro Suglia, Ioannis Konstas, Andrea Vanzo +4
Approaches to Grounded Language Learning typically focus on a single task-based final performance measure that may not depend on desirable properties of the learned hidden represen…
Hierarchical Multi-Task Natural Language Understanding for Cross-domain Conversational AI: HERMIT NLU
Andrea Vanzo, Emanuele Bastianelli, Oliver Lemon
We present a new neural architecture for wide-coverage Natural Language Understanding in Spoken Dialogue Systems. We develop a hierarchical multi-task architecture, which delivers…
MuMMER: Socially Intelligent Human-Robot Interaction in Public Spaces
Mary Ellen Foster, Bart Craenen, Amol Deshmukh +27
In the EU-funded MuMMER project, we have developed a social robot designed to interact naturally and flexibly with users in public spaces such as a shopping mall. We present the la…
A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling
Martino Mensio, Emanuele Bastianelli, Ilaria Tiddi +1
As the first robotic platforms slowly approach our everyday life, we can imagine a near future where service robots will be easily accessible by non-expert users through vocal inte…