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Broadcast news gisting using lexical cohesion analysis

Stokes, Nicola and Newman, Eamonn and Carthy, Joe and Smeaton, Alan F. (2004) Broadcast news gisting using lexical cohesion analysis. In: ECIR 2004 - 26th European Conference on Information Retrieval, 5-7 April 2004, Sunderland, UK. ISBN 978-3-540-21382-6

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Abstract

In this paper we describe an extractive method of creating very short summaries or gists that capture the essence of a news story using a linguistic technique called lexical chaining. The recent interest in robust gisting and title generation techniques originates from a need to improve the indexing and browsing capabilities of interactive digital multimedia systems. More specifically these systems deal with streams of continuous data, like a news programme, that require further annotation before they can be presented to the user in a meaningful way. We automatically evaluate the performance of our lexical chaining-based gister with respect to four baseline extractive gisting methods on a collection of closed caption material taken from a series of news broadcasts. We also report results of a human-based evaluation of summary quality. Our results show that our novel lexical chaining approach to this problem outperforms standard extractive gisting methods.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Additional Information:The original publication is available at www.springerlink.com
Subjects:Computer Science > Digital video
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Published in:Advances in Information Retrieval. Lecture Notes in Computer Science 2997. Springer Berlin / Heidelberg. ISBN 978-3-540-21382-6
Publisher:Springer Berlin / Heidelberg
Official URL:http://dx.doi.org/10.1007/b96895
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland
ID Code:288
Deposited On:11 Mar 2008 by DORAS Administrator. Last Modified 06 May 2010 15:38

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