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Update README.md
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README.md
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license: mit
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---
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license: mit
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---
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#### German Legal NER:
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This language model is trained on the [Legal Entity Recognition](https://github.com/elenanereiss/Legal-Entity-Recognition) dataset. We conducted a stratified 10-fold cross-validation to prevent overfitting. The results showed that their fine-tuned German BERT model outperformed the existing BiLSTM-CRF+ model, which was previously used on the same LER dataset. It is capable of annotating German legal data with the following 19 distinct labels:
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|Abbreviation|Class|
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|----|----|
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|PER|Person|
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|RR|Judge|
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|AN|Lawyer|
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|LD|Country|
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|ST|City|
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|STR|Street|
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|LDS|Landscape|
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|ORG|Organization|
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|UN|Company|
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|INN|Institution|
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|GRT|Court|
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|MRK|Brand|
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|GS|Law|
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|VO|Ordinance|
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|EUN|European legal norm|
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|VS|Regulation|
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|VT|Contract|
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|RS|Court decision|
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|LIT|Legal literature|
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This model is publicly available at [PaDaS-Lab/gbert-legal-ner](https://huggingface.co/PaDaS-Lab/gbert-legal-ner). We have also published a corresponding [paper](https://arxiv.org/pdf/2303.05388.pdf) in this regard. Please cite this paper while using this model:
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```bibtex
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@conference{icaart23,
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author={Harshil Darji. and Jelena Mitrović. and Michael Granitzer.},
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title={German BERT Model for Legal Named Entity Recognition},
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booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 3: ICAART,},
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year={2023},
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pages={723-728},
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publisher={SciTePress},
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organization={INSTICC},
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doi={10.5220/0011749400003393},
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isbn={978-989-758-623-1},
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issn={2184-433X},
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}
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```
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---
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#### GDPR Privacy Policy NER:
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This language model is trained on a privacy policy dataset. This dataset is annotated using 33 labels that are in accordance with GDPR. This model aims to facilitate information extraction related to GDPR from a given privacy policy. It can also be further improved to verify whether a given privacy policy follows the GDPR regulations. As stated above, this model is capable of annotating given privacy policy-related text with the following 33 labels:
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|Abbreviation|Class|
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|----|----|
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|DC|Data Controller|
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|DP|Data Processor|
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|DPO|Data Protection Officer|
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|R|Recipient|
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|TP|Third Party|
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|A|Authority|
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|DS|Data Subject|
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|DSO|Data Source|
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|RP|Required Purpose|
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|NRP|Not-Required Purpose|
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|P|Processing|
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|NPD|Non-Personal Data|
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|PD|Personal Data|
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|OM|Organisational Measure|
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|TM|Technical Measure|
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|LB|Legal Basis|
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|CONS|Consent|
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|CONT|Contract|
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|LI|Legitimate Interest|
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|ADM|Automated Decision Making|
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|RET|Retention|
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|SEU|Scale EU|
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|SNEU|Scale Non-EU|
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|RI|Right|
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|DSR15|Art. 15 Right of access by the data subject|
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|DSR16|Art. 16 Right to rectification|
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|DSR17|Art. 17 Right to erasure ("right to be forgotten")|
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|DSR18|Art. 18 Right to restriction of processing|
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|DSR19|Art. 19 Notification obligation regarding rectification or erasure of personal data or restriction of processing|
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|DSR20|Art. 20 Right to data portability|
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|DSR21|Art. 21 Right to object|
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|DSR22|Art. 22 Automated individual decision-making, including profiling|
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|LC|Lodge Complaint|
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This model is publicly available at [PaDaS-Lab/gdpr-privacy-policy-ner](https://huggingface.co/PaDaS-Lab/gdpr-privacy-policy-ner).
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