COLING 2022main21 citations
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.
BibTeX
@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"
}