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:
- 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)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/2022.coling-1.353.pdf