Reference : LL(O)D and NLP perspectives on semantic change for humanities research
Scientific journals : Article
Arts & humanities : Languages & linguistics
Computational Sciences
http://hdl.handle.net/10993/51749
LL(O)D and NLP perspectives on semantic change for humanities research
English
Armaselu, Florentina mailto [University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography >]
Elena-Simona, Elena-Simona [University Politehnica of Bucharest, Romania]
Khan, Anas Fahad [National Research Council of Italy, Italy]
Liebeskind, Chaya [Jerusalem College of Technology, Israel]
McGillivray, Barbara [King’s College London, United Kingdom]
Truică, Ciprian-Octavian [[University Politehnica of Bucharest, Romania]
Utka, Andrius [Vytautas Magnus University, Kaunas, Lithuania]
Valūnaitė Oleškevičienė, Giedrė [Mykolas Romeris University, Vilnius, Lithuania]
van Erp, Marieke [KNAW Humanities Cluster, Amsterdam, Netherlands]
6-May-2022
Semantic Web
IOS Press
Yes
International
1570-0844
2210-4968
[en] linguistic linked open data ; natural language processing ; semantic change ; ontologies ; humanities
[en] This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research. The paper’s aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, CA18209. The survey focuses on the essential aspects needed to understand the current trends and to build applications in this area of study.
This article is based upon work from COST Action Nexus Linguarum, European network for Web-centred linguistic data science, supported by COST (European Cooperation in Science and Technology). www.cost.eu.
Researchers ; Professionals ; Students
http://hdl.handle.net/10993/51749
10.3233/sw-222848
https://content.iospress.com/articles/semantic-web/sw222848

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