Linked Resources towards Enhancing the Conceptual Description of General Lexis Verbs Using Syntactic Information
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F22%3AVSAXS5AE" target="_blank" >RIV/00216208:11320/22:VSAXS5AE - isvavai.cz</a>
Result on the web
<a href="https://aclanthology.org/2022.clib-1.24" target="_blank" >https://aclanthology.org/2022.clib-1.24</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Linked Resources towards Enhancing the Conceptual Description of General Lexis Verbs Using Syntactic Information
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
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Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 5th International Conference on Computational Linguistics in Bulgaria (CLIB 2022)
ISBN
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ISSN
2367-5675
e-ISSN
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Number of pages
11
Pages from-to
214-224
Publisher name
Department of Computational Linguistics, IBL – BAS
Place of publication
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Event location
Sofia, Bulgaria
Event date
Jan 1, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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