Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing

Carroll, J., Evans, R.P. and Klein, E. (2005) Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing In: Cox, S. and Walker, D.W., eds. Proceedings of the UK e-Science All-Hands meeting 2005. EPSRC, Nottingham, UK, pp. 233-238. ISBN 1904425534

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Official URL: http://www.allhands.org.uk/2005/proceedings/

Abstract

Over the last few years, language technology has moved rapidly from ‘applied research’ to ‘engineering’, and from small-scale to large-scale engineering. Applications such as advanced text mining systems are feasible, but very resource-intensive, while research seeking to address the underlying language processing questions faces very real practical and methodological limitations. The e-Science vision, and the creation of the e-Science Grid, promises the level of integrated large- scale technological support required to sustain this important and successful new technology area. In this paper, we discuss the foundations for the deployment of text mining and other language technology on the Grid — the protocols and tools required to build distributed large-scale language technology systems, meeting the needs of users, application builders and researchers.

Item Type:Chapter in book
Additional Information:The item is available from the given URL
Uncontrolled Keywords:Natural language generation, Research methodologies
Subjects:Q000 Languages and Literature - Linguistics and related subjects > Q100 Linguistics
Faculties:Faculty of Science and Engineering > School of Computing, Engineering and Mathematics > Natural Language Technology
ID Code:3189
Deposited By:Helen Webb
Deposited On:17 Nov 2007
Last Modified:08 Oct 2010 02:18

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