EPSRC logo

Details of Grant 

EPSRC Reference: EP/V025708/1
Title: Turing AI Fellowship:Neural Conversational Information Seeking Assistant
Principal Investigator: Dalton, Dr J
Other Investigators:
Researcher Co-Investigators:
Project Partners:
BBC PolyAI Limited
Department: School of Computing Science
Organisation: University of Glasgow
Scheme: EPSRC Fellowship - NHFP
Starts: 01 January 2021 Ends: 31 December 2025 Value (£): 1,623,810
EPSRC Research Topic Classifications:
Artificial Intelligence Computational Linguistics
Human-Computer Interactions
EPSRC Industrial Sector Classifications:
Information Technologies
Related Grants:
Panel History:
Panel DatePanel NameOutcome
06 Oct 2020 Turing AI Acceleration Fellowship Interview Panel A Announced
Summary on Grant Application Form
There have been significant recent advances in Virtual Personal Assistants (VPAs) such as Google Assistant, Siri, and Alexa. However, development of these assistant systems is expensive and difficult (often requiring multiple skilled PhDs). And further, current systems are capable of limited "conversations", with most actions consisting of a single interaction in limited domains to perform simple tasks ("set a timer", "play music", etc...). The goal of this research is to develop research to enable a future conversational search systems that can help solve complex information tasks. Examples of these types of information tasks could be "Teach me about the causes of climate change." or "Help me write the literature survey for this paper." These require complex discussion and long-running modelling of the user and their information task. We propose building on recent advances in machine learning to adapt a general purpose information agent for specialized domains (like health, law, finance) by "machine reading" of text (such documents from a website) to learn a domain model and to discover information tasks automatically from existing interaction data such as search logs, existing conversations, or help tickets. The result of this work will be information agents that can effectively work with the user (including asking questions back and forth) and explain their reasoning more effectively than current information assistants.
Key Findings
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Potential use in non-academic contexts
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Impacts
Description This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Summary
Date Materialised
Sectors submitted by the Researcher
This information can now be found on Gateway to Research (GtR) http://gtr.rcuk.ac.uk
Project URL:  
Further Information:  
Organisation Website: http://www.gla.ac.uk