A tool for extracting sense-disambiguated example sentences through user feedback
Beto Boullosa, Richard Eckart de Castilho, Alexander Geyken, Lothar Lemnitzer, Iryna Gurevych
Abstract
This paper describes an application system aimed to help lexicographers in the extraction of example sentences for a given headword based on its different senses. The tool uses classification and clustering methods and incorporates user feedback to refine its results.- Anthology ID:
- E17-3018
- Volume:
- Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics
- Month:
- April
- Year:
- 2017
- Address:
- Valencia, Spain
- Editors:
- André Martins, Anselmo Peñas
- Venue:
- EACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 69–72
- Language:
- URL:
- https://aclanthology.org/E17-3018
- DOI:
- Cite (ACL):
- Beto Boullosa, Richard Eckart de Castilho, Alexander Geyken, Lothar Lemnitzer, and Iryna Gurevych. 2017. A tool for extracting sense-disambiguated example sentences through user feedback. In Proceedings of the Software Demonstrations of the 15th Conference of the European Chapter of the Association for Computational Linguistics, pages 69–72, Valencia, Spain. Association for Computational Linguistics.
- Cite (Informal):
- A tool for extracting sense-disambiguated example sentences through user feedback (Boullosa et al., EACL 2017)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/E17-3018.pdf