Exploiting the Web for Semantic Change Detection
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
McGillivray, Barbara https://orcid.org/0000-0003-3426-8200
Basile, Pierpaolo
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.
Description
Keywords
Journal Title
21st International Conference, DS 2018, Limassol, Cyprus, October 29–31, 2018, Proceedings
Conference Name
Discovery Science
Journal ISSN
0302-9743
1611-3349
1611-3349
Volume Title
LNCS, volume 11198
Publisher
Springer Link
Publisher DOI
Sponsorship
Alan Turing Institute (EP/N510129/1)