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@@ -64,6 +64,30 @@ More details about the annotation process can be found in our [Paper](https://ce
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  ## Additional Information
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  ### Licensing Information
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  ```
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  MIT License
 
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  ## Additional Information
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+ ### Citation
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+
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+ **BibTeX:**
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+ ```
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+ @inproceedings{steinigen2023semantic,
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+ title={Semantic Extraction of Key Figures and Their Properties From Tax Legal Texts Using Neural Models},
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+ author={Steinigen, Daniel and Namysl, Marcin and Hepperle, Markus and Krekeler, Jan and Landgraf, Susanne},
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+ url = {https://ceur-ws.org/Vol-3441/paper7.pdf},
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+ year={2023}
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+ journal={Sixth Workshop on Automated Semantic Analysis of Information in Legal Text (ASAIL 2023)},
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+ series = {CEUR Workshop Proceedings},
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+ venue = {Braga, Portugal},
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+ eventdate = {2023-06-23}
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+ }
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+
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+ ```
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+ **APA:**
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+ Steinigen, D., Namysl, M., Hepperle, M., Krekeler, J., & Landgraf, S. (2023). Semantic Extraction of Key Figures and Their Properties From Tax Legal Texts Using Neural Models.
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+ Proceedings of Sixth Workshop on Automated Semantic Analysis of Information in Legal Text, Braga, Portugal, June 23, 2023.
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+ CEUR-WS.org, online CEUR-WS.org/Vol-3441/paper7.pdf.
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  ### Licensing Information
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  ```
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  MIT License