Tsakalidis, Adam, Bazzi, Marya, Cucuringu, Mihai, Basile, Pierpaolo and McGillivray, Barbara (2019) Mining the UK web archive for semantic change detection. In: Recent Advances in Natural Language Processing (RANLP) 2019, Varna, Bulgaria, 2–4 Sep 2019. Published in: Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019) pp. 1212-1221. ISBN 9789544520557. doi:10.26615/978-954-452-056-4_139 ISSN 1313-8502.

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Abstract

Semantic change detection (i.e., identify- ing words whose meaning has changed over time) started emerging as a grow- ing area of research over the past decade, with important downstream applications in natural language processing, historical linguistics and computational social sci- ence. However, several obstacles make progress in the domain slow and diffi- cult. These pertain primarily to the lack of well-established gold standard datasets, resources to study the problem at a fine- grained temporal resolution, and quantita- tive evaluation approaches. In this work, we aim to mitigate these issues by (a) re- leasing a new labelled dataset of more than 47K word vectors trained on the UK Web Archive over a short time-frame (2000- 2013); (b) proposing a variant of Pro- crustes alignment to detect words that have undergone semantic shift; and (c) intro- ducing a rank-based approach for evalu- ation purposes. Through extensive nu- merical experiments and validation, we il- lustrate the effectiveness of our approach against competitive baselines. Finally, we also make our resources publicly available to further enable research in the domain.

Item Type:	Conference Item (Paper)
Subjects:	Q Science > QA Mathematics T Technology > TK Electrical engineering. Electronics Nuclear engineering Z Bibliography. Library Science. Information Resources > ZA Information resources
Divisions:	Faculty of Science, Engineering and Medicine > Science > Mathematics
Library of Congress Subject Headings (LCSH):	Semantic Web, Semantic computing, Information technology -- Sociological aspects, Data mining -- Great Britain, Web archives -- Great Britain
Journal or Publication Title:	Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2019)
Publisher:	INCOMA Ltd.
ISBN:	9789544520557
ISSN:	1313-8502
Official Date:	22 October 2019
Dates:	Date Event 22 October 2019 Published 6 July 2019 Accepted
Page Range:	pp. 1212-1221
DOI:	10.26615/978-954-452-056-4_139
Status:	Peer Reviewed
Publication Status:	Published
Access rights to Published version:	Open Access (Creative Commons)
Date of first compliant deposit:	30 October 2019
Date of first compliant Open Access:	1 March 2021
RIOXX Funder/Project Grant:	Project/Grant ID RIOXX Funder Name Funder ID UNSPECIFIED Alan Turing Institute http://dx.doi.org/10.13039/100012338 EP/N510129/1 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266 Seed funding grant : SF099 [EPSRC] Engineering and Physical Sciences Research Council http://dx.doi.org/10.13039/501100000266
Conference Paper Type:	Paper
Title of Event:	Recent Advances in Natural Language Processing (RANLP) 2019
Type of Event:	Conference
Location of Event:	Varna, Bulgaria
Date(s) of Event:	2–4 Sep 2019
Related URLs:	Organisation Publisher Other Repository Publisher
Open Access Version:	Publisher

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