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Exploiting the Web for Semantic Change Detection

Accepted version
Peer-reviewed

Type

Conference Object

Change log

Authors

McGillivray, Barbara  ORCID logo  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

Volume Title

LNCS, volume 11198

Publisher

Springer Link
Sponsorship
Alan Turing Institute (EP/N510129/1)