danielsteinigen
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README.md
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## Dataset Description
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- **Point of Contact:**
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### Dataset Summary
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### Supported Tasks and Leaderboards
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### Languages
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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## Dataset Creation
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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### Personal and Sensitive Information
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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### Other Known Limitations
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## Additional Information
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### Dataset Curators
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### Licensing Information
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### Citation Information
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### Contributions
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[More Information Needed]
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## Dataset Description
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This dataset contains Key Figures with their properties from german tax acts. The dataset is annotated by tax experts and consists of 85 annotated paragraphs from 14 different German tax acts with 157 annotated tax key figures.
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The annotation was performed based on a developed universally applicable annotation schema and a semantic model for key figures and their properties in legal texts.
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More details about the schema and the semantic model can be found in our [Paper](https://ceur-ws.org/Vol-3441/paper7.pdf). There we also provide a knowledge graph populated from these annotated paragraphs.
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- **Repository:** https://github.com/danielsteinigen/nlp-legal-texts
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- **Paper:** https://ceur-ws.org/Vol-3441/paper7.pdf
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### Supported Tasks and Leaderboards
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- Entity Extraction
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- Relation Extraction
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### Languages
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- German
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## Dataset Structure
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### Data Fields
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- **id:** a unique ID of the data sample
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- **law:** the abbreviation of the law from which this parapgraph originates
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- **paragraph:** the title of the paragraph
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- **text:** the actual text string of the paragraph
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- **entities:** list of entity objects
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- **relation:** list of relation objects
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Entities:
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- **id:** a unique ID of the entity
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- **start:** start character offset of the entity
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- **end:** end character offset of the entity
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- **entity:** label/name of the entity
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- **subclass:** entity subclass, if there is one, else NULL
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- **text:** text string of the entity
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Relations:
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- **id:** a unique ID of the realation
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- **head:** ID of the head entity
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- **tail:** ID of the tail entity
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- **relation:** label/name of the relation
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## Dataset Creation
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More details about the annotation process can be found in our [Paper](https://ceur-ws.org/Vol-3441/paper7.pdf).
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