Corpus Development and NER Model for Identification of Legal Entities (Articles, Laws, and Sanctions) in Corruption Court Decisions in Indonesia
This study aims to develop an annotated corpus and a deep learning-based Named Entity Recognition (NER) model to identify legal entities in Indonesian corruption court rulings. The corpus was constructed from 450 Supreme Court documents related to the Anti-Corruption Laws (Laws No. 31/1999), collec...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Universitas Islam Negeri Profesor Kiai Haji Saifuddin Zuhri Purwokerto
2025-06-01
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| Series: | Transactions on Informatics and Data Science |
| Subjects: | |
| Online Access: | https://ejournal.uinsaizu.ac.id/index.php/tids/article/view/13592 |
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