semantic change; conversational bots; linked open data
Abstract :
[en] The paper presents preliminary results from our experiments with large language models, linked data, and semantic change in multilingual diachronic contexts. It proposes the first steps towards a benchmark and aims at fostering discussion on the concept of conversational knowledge bots as emerging paradigms, and the use of linked open data in linguistic tasks.
Research center :
Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History & Historiography (DHI)
Disciplines :
Arts & humanities: Multidisciplinary, general & others
Author, co-author :
ARMASELU, Florentina ; University of Luxembourg > Luxembourg Centre for Contemporary and Digital History (C2DH) > Digital History and Historiography
Chiarcos, Christian
Mcgillivray, Barbara
Fahad Khan, Anas
Truică, Ciprian-Octavian
Valūnaitė-Oleškevičienė, Giedrė
Liebeskind, Chaya
Apostol, Elena-Simona
Utka, Andrius
External co-authors :
yes
Language :
English
Title :
Towards a Conversational Web? A Benchmark for Analysing Semantic Change with Conversational Bots and Linked Open Data
Publication date :
September 2023
Event name :
LDK 2023 Conference
Event organizer :
University of Vienna
Event date :
from 12 to 15 September 2023
Audience :
International
Main work title :
Proceedings of the 4th Conference on Language, Data and Knowledge
CA18209 - European network for Web-centred linguistic data science (NexusLinguarum)
Funders :
COST - European Cooperation in Science and Technology [BE]
Funding text :
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.
