3 citations · 4 across the 3 of their papers we have counts for
3 papers
Language Model Adaptation to Specialized Domains through Selective Masking based on Genre and Topical Characteristics
Anas Belfathi, Ygor Gallina, Nicolas Hernandez +2
Recent advances in pre-trained language modeling have facilitated significant progress across various natural language processing (NLP) tasks. Word masking during model training co…
Harnessing GPT-3.5-turbo for Rhetorical Role Prediction in Legal Cases
Anas Belfathi, Nicolas Hernandez, Laura Monceaux
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…
Enhancing Pre-Trained Language Models with Sentence Position Embeddings for Rhetorical Roles Recognition in Legal Opinions
Anas Belfathi, Nicolas Hernandez, Laura Monceaux
The legal domain is a vast and complex field that involves a considerable amount of text analysis, including laws, legal arguments, and legal opinions. Legal practitioners must ana…