Besim Kabashi — accepted AI-conference papers

2024

On Modelling Corpus Citations in Computational Lexical Resources

Fahad Khan, Maxim Ionov, Christian Chiarcos, Laurent Romary, Gilles Sérasset, Besim Kabashi

COLING 2024main

In this article we look at how two different standards for lexical resources, TEI and OntoLex, deal with corpus citations in lexicons. We will focus on how corpus citations in retrodigitised dictionaries can be modelled using each of the two standards since this provides us with a suitably challengi…

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2022

Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC

Christian Chiarcos, Elena-Simona Apostol, Besim Kabashi, Ciprian-Octavian Truică

COLING 2022main

OntoLex-Lemon has become a de facto standard for lexical resources in the web of data. This paper provides the first overall description of the emerging OntoLex module for Frequency, Attestations, and Corpus-Based Information (OntoLex-FrAC) that is intended to complement OntoLex-Lemon with the neces…

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