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Kiet Van Nguyen B1+ by gianggbgt is a document available to read on EtoBox.
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The document discusses a method for Legal Textual Entailment Recognition (RTE) using pre-trained language models fine-tuned with Support Vector Machine (SVM) techniques. The approach, developed by a team participating in the VLSP 2023 challenge, achieved notable accuracy with a score of 0.7194, addressing the complexities of Vietnamese legal texts. The paper outlines the challenges faced in RTE, the methodology employed, and the significance of leveraging Natural Language Inference (NLI) datasets to enhance
- Author
- gianggbgt
- Language
- EN