BERT for Legal Texts - Training and Fine Tuning in a New Language

Explore the application of BERT (Bidirectional Encoder Representations from Transformers) in the legal domain through this informative conference talk. Discover the process of training and fine-tuning BERT models for legal texts in a new language. Learn about the challenges and techniques involved in adapting this powerful natural language processing model to specialized legal terminology and linguistic nuances. Gain insights into the potential benefits of using BERT for legal text analysis, including improved document classification, information extraction, and semantic understanding. Understand the steps required to prepare legal datasets, implement transfer learning, and optimize model performance for specific legal tasks. Delve into practical examples and best practices for leveraging BERT in legal technology applications, enhancing efficiency and accuracy in legal research and document processing.

BERT for Legal Texts: Training and Fine tuning in a New Language By Nemanja Petrovic