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Datasets for dependency tree reranking

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".

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Bibliographic Details
Main Authors: Do, Bich-Ngoc (Author) , Rehbein, Ines (Author)
Format: Database Research Data
Language:English
Published: Heidelberg Universität 2023-11-13
DOI:10.11588/data/E5NOYH
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Forschungsdaten
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Online Access:Resolving-System, kostenfrei, Volltext: https://doi.org/10.11588/data/E5NOYH
Verlag, kostenfrei, Volltext: https://heidata.uni-heidelberg.de/dataset.xhtml?persistentId=doi:10.11588/data/E5NOYH
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Author Notes:Bich-Ngoc Do, Ines Rehbein
Description
Summary: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".
Item Description:Produktionsdatum: 2020
Gesehen am 22.11.2023
Physical Description:Online Resource
DOI:10.11588/data/E5NOYH

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