Modelling frequency, attestation, and corpus-based information with OntoLex-FrAC
- 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.
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| Author: | Christian ChiarcosORCiDGND, Elena-Simona Apostol, Besim Kabashi, Ciprian-Octavian Truică |
|---|---|
| URN: | urn:nbn:de:bvb:384-opus4-1038566 |
| Frontdoor URL | https://opus.bibliothek.uni-augsburg.de/opus4/103856 |
| URL: | https://aclanthology.org/2022.coling-1.353 |
| ISSN: | 2951-2093OPAC |
| Parent Title (English): | COLING 2022: Proceedings of the 29th International Conference on Computational Linguistics, October 12 - 17, 2022, Gyeongju, Republic of Korea |
| Publisher: | International Committee on Computational Linguistics |
| Editor: | Nicoletta Calzolari, Chu-Ren Huang, Hansaem Kim, James Pustejovsky, Leo Wanner, Key-Sun Choi, Pum-Mo Ryu, Hsin-Hsi Chen, Lucia Donatelli, Heng Ji, Sadao Kurohashi, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He,, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na |
| Type: | Conference Proceeding |
| Language: | English |
| Year of first Publication: | 2022 |
| Publishing Institution: | Universität Augsburg |
| Release Date: | 2023/05/03 |
| First Page: | 4018 |
| Last Page: | 4027 |
| Institutes: | Philologisch-Historische Fakultät |
| Philologisch-Historische Fakultät / Angewandte Computerlinguistik | |
| Philologisch-Historische Fakultät / Angewandte Computerlinguistik / Lehrstuhl für Angewandte Computerlinguistik (ACoLi) | |
| Dewey Decimal Classification: | 4 Sprache / 40 Sprache / 400 Sprache |
| Licence (German): |  CC-BY 4.0: Creative Commons: Namensnennung (mit Print on Demand) |
