@inproceedings{kazi-etal-2022-visualisation,
title = "Visualisation Methods for Diachronic Semantic Shift",
author = "Kazi, Raef and
Amato, Alessandra and
Wang, Shenghui and
Bucur, Doina",
editor = "Cohan, Arman and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Herrmannova, Drahomira and
Knoth, Petr and
Lo, Kyle and
Mayr, Philipp and
Shmueli-Scheuer, Michal and
de Waard, Anita and
Wang, Lucy Lu",
booktitle = "Proceedings of the Third Workshop on Scholarly Document Processing",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2022.sdp-1.10/",
pages = "89--94",
abstract = "The meaning and usage of a concept or a word changes over time. These diachronic semantic shifts reflect the change of societal and cultural consensus as well as the evolution of science. The availability of large-scale corpora and recent success in language models have enabled researchers to analyse semantic shifts in great detail. However, current research lacks intuitive ways of presenting diachronic semantic shifts and making them comprehensive. In this paper, we study the PubMed dataset and compute semantic shifts across six decades. We develop three visualisation methods that can show, given a root word: the temporal change in its linguistic context, word re-occurrence, degree of similarity, time continuity, and separate trends per publisher location. We also propose a taxonomy that classifies visualisation methods for diachronic semantic shifts with respect to different purposes."
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%0 Conference Proceedings
%T Visualisation Methods for Diachronic Semantic Shift
%A Kazi, Raef
%A Amato, Alessandra
%A Wang, Shenghui
%A Bucur, Doina
%Y Cohan, Arman
%Y Feigenblat, Guy
%Y Freitag, Dayne
%Y Ghosal, Tirthankar
%Y Herrmannova, Drahomira
%Y Knoth, Petr
%Y Lo, Kyle
%Y Mayr, Philipp
%Y Shmueli-Scheuer, Michal
%Y de Waard, Anita
%Y Wang, Lucy Lu
%S Proceedings of the Third Workshop on Scholarly Document Processing
%D 2022
%8 October
%I Association for Computational Linguistics
%C Gyeongju, Republic of Korea
%F kazi-etal-2022-visualisation
%X The meaning and usage of a concept or a word changes over time. These diachronic semantic shifts reflect the change of societal and cultural consensus as well as the evolution of science. The availability of large-scale corpora and recent success in language models have enabled researchers to analyse semantic shifts in great detail. However, current research lacks intuitive ways of presenting diachronic semantic shifts and making them comprehensive. In this paper, we study the PubMed dataset and compute semantic shifts across six decades. We develop three visualisation methods that can show, given a root word: the temporal change in its linguistic context, word re-occurrence, degree of similarity, time continuity, and separate trends per publisher location. We also propose a taxonomy that classifies visualisation methods for diachronic semantic shifts with respect to different purposes.
%U https://aclanthology.org/2022.sdp-1.10/
%P 89-94
Markdown (Informal)
[Visualisation Methods for Diachronic Semantic Shift](https://aclanthology.org/2022.sdp-1.10/) (Kazi et al., sdp 2022)
ACL
- Raef Kazi, Alessandra Amato, Shenghui Wang, and Doina Bucur. 2022. Visualisation Methods for Diachronic Semantic Shift. In Proceedings of the Third Workshop on Scholarly Document Processing, pages 89–94, Gyeongju, Republic of Korea. Association for Computational Linguistics.