Chiarcos C, Apostol ES, Kabashi B, Truica CO (2022)
Publication Type: Conference contribution
Publication year: 2022
Publisher: Association for Computational Linguistics (ACL)
Book Volume: 29
Pages Range: 4018-4027
Conference Proceedings Title: Proceedings - International Conference on Computational Linguistics, COLING
Event location: Gyeongju, KOR
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.
APA:
Chiarcos, C., Apostol, E.S., Kabashi, B., & Truica, C.O. (2022). Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC. In 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, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na (Eds.), Proceedings - International Conference on Computational Linguistics, COLING (pp. 4018-4027). Gyeongju, KOR: Association for Computational Linguistics (ACL).
MLA:
Chiarcos, Christian, et al. "Modelling Frequency, Attestation, and Corpus-Based Information with OntoLex-FrAC." Proceedings of the 29th International Conference on Computational Linguistics, COLING 2022, Gyeongju, KOR Ed. 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, Patrizia Paggio, Nianwen Xue, Seokhwan Kim, Younggyun Hahm, Zhong He, Tony Kyungil Lee, Enrico Santus, Francis Bond, Seung-Hoon Na, Association for Computational Linguistics (ACL), 2022. 4018-4027.
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