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Details of Grant 

EPSRC Reference: GR/R42405/01
Title: S3L: Statistical Summarization of Spoken Language
Principal Investigator: Gotoh, Dr Y
Other Investigators:
Renals, Professor S
Researcher Co-Investigators:
Project Partners:
BBC SoftSound Ltd
Department: Computer Science
Organisation: University of Sheffield
Scheme: Standard Research (Pre-FEC)
Starts: 15 December 2001 Ends: 14 September 2005 Value (£): 284,249
EPSRC Research Topic Classifications:
Human Communication in ICT
EPSRC Industrial Sector Classifications:
Creative Industries
Related Grants:
Panel History:  
Summary on Grant Application Form
The proposed research falls within the People and Interactivity sector of the IT&CS programme, and is concerned with the automatic summarization of spoken language, specifically broadcast speech. The main scientific problem that we address is the development of trainable, statistical models for non-extractive summarization. The project focusses on summarization aspects, rather than speech recognition, which is handled using our existing capabilities with extensions provided by SoftSound, who will collaborate on the project.Our baseline models for summarization will be extractive, based on our current spoken document retrieval work. During the project we plan to explore non-extractive generative models based on (1) language model approaches to text retrieval, and (2) statistical machine translation models. Another strand of the project is concerned with the use of a maximum entropy framework for the integration of prosodic features.We plan to focus on BBC television and radio data, and our collaboration with the BBC R&D dept. will be of great value in developing this corpus for summarization research. Demonstration systems constructed within the project will be evaluated both using objective criteria and through feedback from users at the BBC.
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Further Information:  
Organisation Website: http://www.shef.ac.uk