Exploiting the Web for Semantic Change Detection
Accepted version
Peer-reviewed
Repository URI
Repository DOI
Change log
Authors
Basile, P
McGillivray, Barbara https://orcid.org/0000-0003-3426-8200
Abstract
Detecting significant linguistic shifts in the meaning and usage of words has gained more attention over the last few years. Linguistic 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
Title
Exploiting the Web for Semantic Change Detection
Keywords
4605 Data Management and Data Science, 46 Information and Computing Sciences, Clinical Research, Behavioral and Social Science, Basic Behavioral and Social Science
Is Part Of
Discovery Science. DS 2018
Book type
Publisher
Springer Nature
Publisher DOI
ISBN
978-3-030-01771-2
Rights
All rights reserved
Sponsorship
Alan Turing Institute (EP/N510129/1)