General Corpus

General corpora, large collections of text data representing diverse language use, are foundational to training powerful language models. Current research emphasizes adapting these pre-trained models to specific domains, often using techniques like fine-tuning with domain-specific data or incorporating knowledge through methods such as regular expressions or knowledge plugins, leveraging architectures like Transformers. This work addresses limitations of general-purpose models in specialized applications, improving performance in tasks such as recommendation systems, named entity recognition, and topic classification across various languages. The resulting improvements have significant implications for numerous fields, including legal proceedings analysis and educational technology.