EDBT 2026 Demo / reviewers in the wild / expert

Giedre Valunaite Oleskeviciene

dblp:300/5702 · DBLP profile ↗
← Back
7ranked-venue papers in the field
1as first author
7since 2021 · last 2023
—ORCID · none

Domains — venue-derived; a paper can count in several

Knowledge Engineering, Semantic Web & Information Systems · 7 (1 first)
YearPublicationVenuePosition
2023 Towards a Conversational Web? A Benchmark for Analysing Semantic Change with Conversational Knowledge Bots and Linked Open Data
Florentina Armaselu, Elena Apostol, Christian Chiarcos, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truica, Andrius Utka, Giedre Valunaite Oleskeviciene
 LDK9
2023 Workflow Reversal and Data Wrangling in Multilingual Diachronic Analysis and Linguistic Linked Open Data Modelling
Florentina Armaselu, Barbara McGillivray, Chaya Liebeskind, Giedre Valunaite Oleskeviciene, Andrius Utka, Daniela Gîfu, Anas Fahad Khan, Elena Apostol, Ciprian-Octavian Truica
 LDK4
2023 Validation of Language Agnostic Models for Discourse Marker Detection
Mariana Damova, Kostadin Mishev, Giedre Valunaite Oleskeviciene, Chaya Liebeskind, Purificação Silvano, Dimitar Trajanov, Ciprian-Octavian Truica, Elena Apostol, Christian Chiarcos, Anna Baczkowska
 LDK3
2023 Validation of the Bigger Analogy Test Set Translation into Croatian, Lithuanian and Slovak
Radovan Garabík, Ana Ostroski Anic, Sigita Rackeviciene, Giedre Valunaite Oleskeviciene, Linas Selmistraitis, Andrius Utka
 LDK4
2023 Adopting Linguistic Linked Data Principles: Insights on Users' Experience
Verginica Barbu Mititelu, Maria Pia di Buono, Hugo Gonçalo Oliveira, Blerina Spahiu, Giedre Valunaite Oleskeviciene
 LDK5
2023 Multi-word Expressions as Discourse Markers in Multilingual TED-ELH Parallel Corpus
Giedre Valunaite Oleskeviciene, Chaya Liebeskind
 LDK1
2021 HISTORIAE, History of Socio-Cultural Transformation as Linguistic Data Science. A Humanities Use Case
abstract
The paper proposes an interdisciplinary approach including methods from disciplines such as history of concepts, linguistics, natural language processing (NLP) and Semantic Web, to create a comparative framework for detecting semantic change in multilingual historical corpora and generating diachronic ontologies as linguistic linked open data (LLOD). Initiated as a use case (UC4.2.1) within the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, the study will explore emerging trends in knowledge extraction, analysis and representation from linguistic data science, and apply the devised methodology to datasets in the humanities to trace the evolution of concepts from the domain of socio-cultural transformation. The paper will describe the main elements of the methodological framework and preliminary planning of the intended workflow.
Florentina Armaselu, Elena Apostol, Anas Fahad Khan, Chaya Liebeskind, Barbara McGillivray, Ciprian-Octavian Truica, Giedre Valunaite Oleskeviciene
 LDK7