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

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

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)
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PDF:: https://aclanthology.org/2022.coling-1.353.pdf

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@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

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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.