Deep learning-based automatic analysis of legal contracts: a named entity recognition benchmark
Author:
Funder
Qatar National Research Fund
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09869-7.pdf
Reference41 articles.
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3. Au TWT, Cox IJ, Lampos V (2022) E-NER—an annotated named entity recognition corpus of legal text. arXiv:2212.09306
4. Wang Y, Tong H, Zhu Z, Li Y (2022) Nested named entity recognition: a survey. ACM Trans Knowl Discov Data. https://doi.org/10.1145/3522593
5. Tsujimura T, Yamada K, Ida R, Miwa M, Sasaki Y (2023) Contextualized medication event extraction with striding NER and multi-turn QA. J Biomed Inform 144:104416. https://doi.org/10.1016/j.jbi.2023.104416
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