9 citations · 23 across the 6 of their papers we have counts for
6 papers · 1 filter
The Lab vs The Crowd: An Investigation into Data Quality for Neural Dialogue Models
José Lopes, Francisco J. Chiyah Garcia, Helen Hastie
Challenges around collecting and processing quality data have hampered progress in data-driven dialogue models. Previous approaches are moving away from costly, resource-intensive…
Transfer Learning for British Sign Language Modelling
Boris Mocialov, Graham Turner, Helen Hastie
Automatic speech recognition and spoken dialogue systems have made great advances through the use of deep machine learning methods. This is partly due to greater computing power bu…
Towards Large-Scale Data Mining for Data-Driven Analysis of Sign Languages
Boris Mocialov, Graham Turner, Helen Hastie
Access to sign language data is far from adequate. We show that it is possible to collect the data from social networking services such as TikTok, Instagram, and YouTube by applyin…
Robots in the Danger Zone: Exploring Public Perception through Engagement
David A. Robb, Muneeb I. Ahmad, Carlo Tiseo +14
Public perceptions of Robotics and Artificial Intelligence (RAI) are important in the acceptance, uptake, government regulation and research funding of this technology. Recent rese…
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…
Natural Language Interaction to Facilitate Mental Models of Remote Robots
Francisco J. Chiyah Garcia, José Lopes, Helen Hastie
Increasingly complex and autonomous robots are being deployed in real-world environments with far-reaching consequences. High-stakes scenarios, such as emergency response or offsho…