Linked Resources towards Enhancing the Conceptual Description of General Lexis Verbs Using Syntactic Information

Svetlozara Leseva, Ivelina Stoyanova


Abstract
214–224
Anthology ID:
2022.clib-1.24
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:
The paper describes the linking of three previously aligned resources (FrameNet, VerbNet and WordNet) both by expanding their coverage (by means of enhancing existing alignments) and by mapping elements of the semantic and syntactic description of the lexical items: FrameNet frame elements and VerbNet semantic roles, FrameNet valency patterns and VerbNet syntactic patterns. The study focuses on general lexis verbs as being more representative across languages. After describing the used resources and their interaction, we go on to outline the mapping procedures and the elements of the resulting resource. The discussion sums up the main challenges encountered in carrying out the described tasks.
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URL:
https://aclanthology.org/2022.clib-1.24
DOI:
Bibkey:
Cite (ACL):
Svetlozara Leseva and Ivelina Stoyanova. 2022. Linked Resources towards Enhancing the Conceptual Description of General Lexis Verbs Using Syntactic Information. In Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022), page The paper describes the linking of three previously aligned resources (FrameNet, VerbNet and WordNet) both by expanding their coverage (by means of enhancing existing alignments) and by mapping elements of the semantic and syntactic description of the lexical items: FrameNet frame elements and VerbNet semantic roles, FrameNet valency patterns and VerbNet syntactic patterns. The study focuses on general lexis verbs as being more representative across languages. After describing the used resources and their interaction, we go on to outline the mapping procedures and the elements of the resulting resource. The discussion sums up the main challenges encountered in carrying out the described tasks., Sofia, Bulgaria. Department of Computational Linguistics, IBL -- BAS.
Cite (Informal):
Linked Resources towards Enhancing the Conceptual Description of General Lexis Verbs Using Syntactic Information (Leseva & Stoyanova, CLIB 2022)
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PDF:
https://preview.aclanthology.org/nschneid-patch-4/2022.clib-1.24.pdf
Data
ConcepticonFrameNet