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

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


Abstract
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 necessary vocabulary to represent major types of information found in or automatically derived from corpora, for applications in both language technology and the language sciences.
Anthology ID:
2022.coling-1.353
Volume:
Proceedings of the 29th International Conference on Computational Linguistics
Month:
October
Year:
2022
Address:
Gyeongju, Republic of Korea
Venue:
COLING
SIG:
Publisher:
International Committee on Computational Linguistics
Note:
Pages:
4018–4027
Language:
URL:
https://aclanthology.org/2022.coling-1.353
DOI:
Bibkey:
Cite (ACL):
Christian Chiarcos, Elena-Simona Apostol, Besim Kabashi, and Ciprian-Octavian Truică. 2022. Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC. In Proceedings of the 29th International Conference on Computational Linguistics, pages 4018–4027, Gyeongju, Republic of Korea. International Committee on Computational Linguistics.
Cite (Informal):
Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC (Chiarcos et al., COLING 2022)
Copy Citation:
PDF:
https://aclanthology.org/2022.coling-1.353.pdf