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Supporting text mining for e-Science: the challenges for Grid-enabled natural language processing
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posted on 2023-06-08, 06:41 authored by John Carroll, Roger Evans, Ewan KleinOver 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.
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Publication status
- Published
ISSN
1904425550Publisher
Engineering and Physical Sciences Research CouncilVolume
e-SciePage range
6 pagesPresentation Type
- paper
Event name
Workshop on Text Mining, e-Research And Grid-enabled Language Technology at the Fourth UK e-Science Programme All Hands Meeting (AHM2005)Event location
Nottingham, UK. 19-22 Sep 2005Event type
conferenceDepartment affiliated with
- Informatics Publications
Notes
From SROFull text available
- No
Peer reviewed?
- Yes
Legacy Posted Date
2012-02-06Usage metrics
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