Datasets for Dependency Tree Reranking

Dataset

DOI

This resource contains the datasets for dependency tree reranking in 3 languages: English, German and Czech. The creation, analysis and experiment results of the datasets are described in the paper: Do and Rehbein (2020). "Neural Reranking for Dependency Parsing: An Evaluation".

Identifier
DOI	https://doi.org/10.11588/data/E5NOYH
Related Identifier	https://doi.org/10.18653/v1/2020.acl-main.379
Metadata Access	https://heidata.uni-heidelberg.de/oai?verb=GetRecord&metadataPrefix=oai_datacite&identifier=doi:10.11588/data/E5NOYH

Provenance
Creator	Do, Bich-Ngoc; Rehbein, Ines
Publisher	heiDATA
Contributor	Do, Bich-Ngoc
Publication Year	2023
Rights	CC BY-NC 4.0; info:eu-repo/semantics/openAccess; http://creativecommons.org/licenses/by-nc/4.0
OpenAccess	true
Contact	Do, Bich-Ngoc (Institute of Computational Linguistics, Heidelberg University & Leibniz Institute for German Language)

Representation
Resource Type	text data in JSONL format; Dataset
Format	application/gzip; text/markdown
Size	56926764; 22132597; 33943333; 12922050; 11635608; 36697283; 1191; 1025
Version	1.0
Discipline	Humanities