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Found 3 papers, 1 papers with code
Language Model Adaptation to Specialized Domains through Selective Masking based on Genre and Topical Characteristics
Recent advances in pre-trained language modeling have facilitated significant progress across various natural language processing (NLP) tasks.
Harnessing GPT-3.5-turbo for Rhetorical Role Prediction in Legal Cases
We propose a comprehensive study of one-stage elicitation techniques for querying a large pre-trained generative transformer (GPT-3. 5-turbo) in the rhetorical role prediction task of legal cases.
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions
The legal domain is a vast and complex field that involves a considerable amount of text analysis, including laws, legal arguments, and legal opinions.
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