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
Venue:
EACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
69–72
Language:
URL:
https://aclanthology.org/E17-3018
DOI:
Bibkey:
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)
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PDF:
https://preview.aclanthology.org/emnlp-22-attachments/E17-3018.pdf