Ontology Supported Frame Classification

Svetla Koeva, Emil Doychev


Abstract
We present BulFrame – a web-based system designed for creating, editing, validating and viewing conceptual frames. A unified theoretical model for the formal presentation of Conceptual frames is offered, which predetermines the architecture of the system with which the data is processed. A Conceptual frame defines a unique set of syntagmatic relations between verb synsets representing the frame and noun synsets expressing the frame elements. Thereby, the notion of Conceptual frame combines semantic knowledge presented in WordNet and FrameNet and builds upon it. The main difference with FrameNet semantic frames is the definition of the sets of nouns that can be combined with a given verb. This is achieved by an ontological representation of noun semantic classes. The framework is built and evaluated with Conceptual frames for Bulgarian verbs.
Anthology ID:
2022.clib-1.23
Volume:
Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
Month:
September
Year:
2022
Address:
Sofia, Bulgaria
Venue:
CLIB
SIG:
Publisher:
Department of Computational Linguistics, IBL -- BAS
Note:
Pages:
203–213
Language:
URL:
https://aclanthology.org/2022.clib-1.23
DOI:
Bibkey:
Cite (ACL):
Svetla Koeva and Emil Doychev. 2022. Ontology Supported Frame Classification. In Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022), pages 203–213, Sofia, Bulgaria. Department of Computational Linguistics, IBL -- BAS.
Cite (Informal):
Ontology Supported Frame Classification (Koeva & Doychev, CLIB 2022)
Copy Citation:
PDF:
https://preview.aclanthology.org/nschneid-patch-4/2022.clib-1.23.pdf
Data
FrameNet