Abstract
Word embeddings were used for the extraction of hyponymy relation in several approaches, but also it was recently shown that they should not work, in fact. In our work we verified both claims using a very large wordnet of Polish as a gold standard for lexico-semantic relations and word embeddings extracted from a very large corpus of Polish. We showed that a hyponymy extraction method based on linear regression classifiers trained on clusters of vectors can be successfully applied on large scale. We presented also a possible explanation for contradictory findings in the literature. Moreover, in order to show the feasibility of the method we extended it to the recognition of meronymy.- Anthology ID:
- 2018.gwc-1.29
- Volume:
- Proceedings of the 9th Global Wordnet Conference
- Month:
- January
- Year:
- 2018
- Address:
- Nanyang Technological University (NTU), Singapore
- Editors:
- Francis Bond, Piek Vossen, Christiane Fellbaum
- Venue:
- GWC
- SIG:
- SIGLEX
- Publisher:
- Global Wordnet Association
- Note:
- Pages:
- 251–258
- Language:
- URL:
- https://aclanthology.org/2018.gwc-1.29
- DOI:
- Cite (ACL):
- Gabriela Czachor, Maciej Piasecki, and Arkadiusz Janz. 2018. Recognition of Hyponymy and Meronymy Relations in Word Embeddings for Polish. In Proceedings of the 9th Global Wordnet Conference, pages 251–258, Nanyang Technological University (NTU), Singapore. Global Wordnet Association.
- Cite (Informal):
- Recognition of Hyponymy and Meronymy Relations in Word Embeddings for Polish (Czachor et al., GWC 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2018.gwc-1.29.pdf