Treebanks for Unified Taxonomy of Deep Syntactic Relations

PID

The datasets described in Droganova, Kira, and Daniel Zeman. "Towards a Unified Taxonomy of Deep Syntactic Relations." Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024). 2024. Four languages are included in this release. English PropBank is omitted due to its license terms. The updated version contains changes described in Dependency Parsing beyond Simple Trees (Kira Droganova 2025, PhD thesis, Chapter 4)

Identifier
PID http://hdl.handle.net/11234/1-5980
Related Identifier https://aclanthology.org/2024.lrec-main.1426
Related Identifier http://hdl.handle.net/11234/1-5474
Metadata Access http://lindat.mff.cuni.cz/repository/oai/request?verb=GetRecord&metadataPrefix=oai_dc&identifier=oai:lindat.mff.cuni.cz:11234/1-5980
Provenance
Creator Droganova, Kira; Zeman, Daniel
Publisher Charles University, Faculty of Mathematics and Physics, Institute of Formal and Applied Linguistics (UFAL)
Publication Year 2025
Rights Licence Universal Dependencies v2.16; https://lindat.mff.cuni.cz/repository/static/license-ud-2.16.html; PUB
OpenAccess true
Contact lindat-help(at)ufal.mff.cuni.cz
Representation
Language Czech; Spanish; Castilian; Catalan; Valencian; Finnish
Resource Type corpus
Format application/zip; text/plain; charset=utf-8; downloadable_files_count: 1
Discipline Linguistics