Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC
Christian Chiarcos, Elena-Simona Apostol, Besim Kabashi, Ciprian-Octavian Truică
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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
- Editors:
- 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
- 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
Export citation
@inproceedings{chiarcos-etal-2022-modelling-frequency,
title = "Modelling Frequency, Attestation, and Corpus-Based Information with {O}nto{L}ex-{F}r{AC}",
author = "Chiarcos, Christian and
Apostol, Elena-Simona and
Kabashi, Besim and
Truic{\u{a}}, Ciprian-Octavian",
editor = "Calzolari, Nicoletta and
Huang, Chu-Ren and
Kim, Hansaem and
Pustejovsky, James and
Wanner, Leo and
Choi, Key-Sun and
Ryu, Pum-Mo and
Chen, Hsin-Hsi and
Donatelli, Lucia and
Ji, Heng and
Kurohashi, Sadao and
Paggio, Patrizia and
Xue, Nianwen and
Kim, Seokhwan and
Hahm, Younggyun and
He, Zhong and
Lee, Tony Kyungil and
Santus, Enrico and
Bond, Francis and
Na, Seung-Hoon",
booktitle = "Proceedings of the 29th International Conference on Computational Linguistics",
month = oct,
year = "2022",
address = "Gyeongju, Republic of Korea",
publisher = "International Committee on Computational Linguistics",
url = "https://aclanthology.org/2022.coling-1.353/",
pages = "4018--4027",
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."
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%0 Conference Proceedings %T Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC %A Chiarcos, Christian %A Apostol, Elena-Simona %A Kabashi, Besim %A Truică, Ciprian-Octavian %Y Calzolari, Nicoletta %Y Huang, Chu-Ren %Y Kim, Hansaem %Y Pustejovsky, James %Y Wanner, Leo %Y Choi, Key-Sun %Y Ryu, Pum-Mo %Y Chen, Hsin-Hsi %Y Donatelli, Lucia %Y Ji, Heng %Y Kurohashi, Sadao %Y Paggio, Patrizia %Y Xue, Nianwen %Y Kim, Seokhwan %Y Hahm, Younggyun %Y He, Zhong %Y Lee, Tony Kyungil %Y Santus, Enrico %Y Bond, Francis %Y Na, Seung-Hoon %S Proceedings of the 29th International Conference on Computational Linguistics %D 2022 %8 October %I International Committee on Computational Linguistics %C Gyeongju, Republic of Korea %F chiarcos-etal-2022-modelling-frequency %X 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. %U https://aclanthology.org/2022.coling-1.353/ %P 4018-4027
Markdown (Informal)
[Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC](https://aclanthology.org/2022.coling-1.353/) (Chiarcos et al., COLING 2022)
- Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC (Chiarcos et al., COLING 2022)
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.