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".
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Database Research Data |
| Language: | English |
| Published: |
Heidelberg
Universität
2023-11-13
|
| DOI: | 10.11588/data/E5NOYH |
| Subjects: | |
| 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 |
| Author Notes: | Bich-Ngoc Do, Ines Rehbein |
MARC
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| 500 | |a Produktionsdatum: 2020 | ||
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| 520 | |a 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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