Abstract
This paper describes an approach aiming at utilizing Wiktionary data for creating specialized lexical datasets which can be used for enriching other lexical (semantic) resources or for generating datasets that can be used for evaluating or improving NLP tasks, like Word Sense Disambiguation, Word-in-Context challenges, or Sense Linking across lexicons and dictionaries. We have focused on Wiktionary data about pronunciation information in English, and grammatical number and grammatical gender in German.- Anthology ID:
- 2022.lrec-1.370
- Volume:
- Proceedings of the Thirteenth Language Resources and Evaluation Conference
- Month:
- June
- Year:
- 2022
- Address:
- Marseille, France
- Editors:
- Nicoletta Calzolari, Frédéric Béchet, Philippe Blache, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Jan Odijk, Stelios Piperidis
- Venue:
- LREC
- SIG:
- Publisher:
- European Language Resources Association
- Note:
- Pages:
- 3457–3460
- Language:
- URL:
- https://aclanthology.org/2022.lrec-1.370
- DOI:
- Cite (ACL):
- Lenka Bajčetić and Thierry Declerck. 2022. Using Wiktionary to Create Specialized Lexical Resources and Datasets. In Proceedings of the Thirteenth Language Resources and Evaluation Conference, pages 3457–3460, Marseille, France. European Language Resources Association.
- Cite (Informal):
- Using Wiktionary to Create Specialized Lexical Resources and Datasets (Bajčetić & Declerck, LREC 2022)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/2022.lrec-1.370.pdf