English WordNet 2020: Improving and Extending a WordNet for English using an Open-Source Methodology

John Philip McCrae, Alexandre Rademaker, Ewa Rudnicka, Francis Bond


Abstract
WordNet, while one of the most widely used resources for NLP, has not been updated for a long time, and as such a new project English WordNet has arisen to continue the development of the model under an open-source paradigm. In this paper, we detail the second release of this resource entitled “English WordNet 2020”. The work has focused firstly, on the introduction of new synsets and senses and developing guidelines for this and secondly, on the integration of contributions from other projects. We present the changes in this edition, which total over 15,000 changes over the previous release.
Anthology ID:
2020.mmw-1.3
Volume:
Proceedings of the LREC 2020 Workshop on Multimodal Wordnets (MMW2020)
Month:
May
Year:
2020
Address:
Marseille, France
Venues:
LREC | MMW | WS
SIG:
Publisher:
The European Language Resources Association (ELRA)
Note:
Pages:
14–19
Language:
English
URL:
https://www.aclweb.org/anthology/2020.mmw-1.3
DOI:
Bib Export formats:
BibTeX MODS XML EndNote
PDF:
http://aclanthology.lst.uni-saarland.de/2020.mmw-1.3.pdf