Exploiting the Web for Semantic Change Detection
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Publication Date
2018Journal Title
21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings
Conference Name
Discovery Science
ISSN
0302-9743
ISBN
9783030017705
Publisher
Springer Link
Volume
LNCS, volume 11198
Issue
DS2018
Pages
194-208
Type
Conference Object
This Version
AM
Metadata
Show full item recordCitation
McGillivray, B., & Basile, P. (2018). Exploiting the Web for Semantic Change Detection. 21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings, LNCS, volume 11198 (DS2018), 194-208. https://doi.org/10.1007/978-3-030-01771-2
Abstract
Detecting significant linguistic shifts in the meaning and usage of words has gained more attention over the last few years. Linguis- tic shifts are especially prevalent on the Internet, where words’ meaning can change rapidly. In this work, we describe the construction of a large diachronic corpus that relies on the UK Web Archive and we propose a preliminary analysis of semantic change detection exploiting a particular technique called Temporal Random Indexing. Results of the evaluation are promising and give us important insights for further investigations.
Sponsorship
Alan Turing Institute (EP/N510129/1)
Identifiers
External DOI: https://doi.org/10.1007/978-3-030-01771-2
This record's URL: https://www.repository.cam.ac.uk/handle/1810/288055
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http://www.rioxx.net/licenses/all-rights-reserved
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