https://github.com/cvjena/chiasmus-annotations
Science Score: 26.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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✓codemeta.json file
Found codemeta.json file -
○.zenodo.json file
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✓DOI references
Found 1 DOI reference(s) in README -
○Academic publication links
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○Academic email domains
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○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (4.9%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: cvjena
- Language: Python
- Default Branch: main
- Size: 1.04 MB
Statistics
- Stars: 3
- Watchers: 2
- Forks: 0
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
German Chiasmus Dataset
Introduction
This is the dataset described in the paper Hard is the Task, the Samples are Few. It is based on the experiments in the paper Data-Driven Detection of General Chiasmi Using Lexical and Semantic Features presented at the SIGHUM workshop at the EMNLP 2021.
The data can be found in the data subfolder and is in the json file format.
Examples
Der Reiche setzt eher sein [Leben] für seinen [Reichtum] als seinen [Reichtum] für sein [Leben] aufs Spiel. The rich one would rather risk his [life] for his [riches] than his [riches] for his [life].
Cite
@inproceedings{schneider2023hard,
title = {Hard is the Task, the Samples are Few: A German Chiasmus Dataset},
author = {Felix Schneider and Sven Sickert and Phillip Brandes and Sophie Marshall and Joachim Denzler},
booktitle = {Human Language Technologies as a Challenge for Computer Science and Linguistics},
year = {2023},
address = {Poznan, Poland},
pages = {255-260},
doi = {10.14746/amup.9788323241775},
}
Owner
- Name: Computer Vision Group Jena
- Login: cvjena
- Kind: organization
- Location: Jena
- Website: https://www.inf-cv.uni-jena.de/
- Repositories: 74
- Profile: https://github.com/cvjena