Incorporating prepositions in the BulTreeBank WordNet

Zara Kancheva


Abstract
A model for preposition incorporation in the BulTreeBank WordNet is presented which follows the model for presenting open class words in wordnets. An adapted semantic classification of prepositions is done on the base of Bulgarian grammars and the classes are used for synset categories. The good coverage of prepositions in the wordnet will be used for the aim of neural language models creation for Bulgarian. This extension of the wordnet improves its utility for semantic annotation.
Anthology ID:
2023.gwc-1.20
Volume:
Proceedings of the 12th Global Wordnet Conference
Month:
January
Year:
2023
Address:
University of the Basque Country, Donostia - San Sebastian, Basque Country
Editors:
German Rigau, Francis Bond, Alexandre Rademaker
Venue:
GWC
SIG:
Publisher:
Global Wordnet Association
Note:
Pages:
167–171
Language:
URL:
https://aclanthology.org/2023.gwc-1.20
DOI:
Bibkey:
Cite (ACL):
Zara Kancheva. 2023. Incorporating prepositions in the BulTreeBank WordNet. In Proceedings of the 12th Global Wordnet Conference, pages 167–171, University of the Basque Country, Donostia - San Sebastian, Basque Country. Global Wordnet Association.
Cite (Informal):
Incorporating prepositions in the BulTreeBank WordNet (Kancheva, GWC 2023)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2023.gwc-1.20.pdf