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Register a new userJuriBERT: A Masked-Language Model Adaptation for French Legal Text
Juribert: التكيف النموذجي اللغوي المصنوع من النص القانوني الفرنسي
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أثبتت نماذج اللغة أنها مفيدة للغاية عند تكييفها مع مجالات محددة.ومع ذلك، تم إجراء القليل من الأبحاث على تكيف نماذج بيرت الخاصة بالمجال في اللغة الفرنسية.في هذه الورقة، نركز على إنشاء نموذج لغة تتكيف مع النص القانوني الفرنسي بهدف مساعدة محترفي القانون.نستنتج أن بعض المهام المحددة لا تستفيد من نماذج اللغة العامة المدربة مسبقا على كميات كبيرة من البيانات.نستكشف استخدام الهندسة الصغيرة في اللغات الفرعية الخاصة بالمجال ومزاياها للنص القانوني الفرنسي.نثبت أن النماذج المحددة مسبقا للمجال يمكن أن تؤدي أفضل من تلك المعادلة المكافئة في المجال القانوني.أخيرا، نطلق سراح جوريبارت، مجموعة جديدة من نماذج بيرت تتكيف مع المجال القانوني الفرنسي.
Language models have proven to be very useful when adapted to specific domains. Nonetheless, little research has been done on the adaptation of domain-specific BERT models in the French language. In this paper, we focus on creating a language model adapted to French legal text with the goal of helping law professionals. We conclude that some specific tasks do not benefit from generic language models pre-trained on large amounts of data. We explore the use of smaller architectures in domain-specific sub-languages and their benefits for French legal text. We prove that domain-specific pre-trained models can perform better than their equivalent generalised ones in the legal domain. Finally, we release JuriBERT, a new set of BERT models adapted to the French legal domain.
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