89 citations · 115 across the 5 of their papers we have counts for
6 papers
CRWIZ: A Framework for Crowdsourcing Real-Time Wizard-of-Oz Dialogues
Francisco J. Chiyah Garcia, José Lopes, Xingkun Liu +1
Large corpora of task-based and open-domain conversational dialogues are hugely valuable in the field of data-driven dialogue systems. Crowdsourcing platforms, such as Amazon Mecha…
User Evaluation of a Multi-dimensional Statistical Dialogue System
Simon Keizer, Ondřej Dušek, Xingkun Liu +1
We present the first complete spoken dialogue system driven by a multi-dimensional statistical dialogue manager. This framework has been shown to substantially reduce data needs by…
Challenges in Collaborative HRI for Remote Robot Teams
Helen Hastie, David A. Robb, José Lopes +6
Collaboration between human supervisors and remote teams of robots is highly challenging, particularly in high-stakes, distant, hazardous locations, such as off-shore energy platfo…
Benchmarking Natural Language Understanding Services for building Conversational Agents
Xingkun Liu, Arash Eshghi, Pawel Swietojanski +1
We have recently seen the emergence of several publicly available Natural Language Understanding (NLU) toolkits, which map user utterances to structured, but more abstract, Dialogu…
A Natural Language Interface with Relayed Acoustic Communications for Improved Command and Control of AUVs
David A. Robb, Jonatan Scharff Willners, Nicolas Valeyrie +6
Autonomous underwater vehicles (AUVs) are being tasked with increasingly complex missions. The acoustic communications required for AUVs are, by the nature of the medium, low bandw…
Explain Yourself: A Natural Language Interface for Scrutable Autonomous Robots
Francisco J. Chiyah Garcia, David A. Robb, Xingkun Liu +3
Autonomous systems in remote locations have a high degree of autonomy and there is a need to explain what they are doing and why in order to increase transparency and maintain trus…