NLP Field
Natural Language Processing (NLP) focuses on enabling computers to understand, interpret, and generate human language. Current research emphasizes improving model performance across diverse tasks, including question answering, text classification, and information extraction, often leveraging large language models (LLMs) and transformer architectures. These advancements are significantly impacting various fields, from healthcare (e.g., dementia detection, clinical data analysis) and legal (e.g., document processing, legal reasoning) to education and cybersecurity, by automating tasks and providing new analytical capabilities. A key challenge remains ensuring fairness, mitigating biases, and addressing privacy concerns within these powerful models.
Papers
Natural Language Robot Programming: NLP integrated with autonomous robotic grasping
Muhammad Arshad Khan, Max Kenney, Jack Painter, Disha Kamale, Riza Batista-Navarro, Amir Ghalamzan-E
Automatic ICD-10 Code Association: A Challenging Task on French Clinical Texts
Yakini Tchouka, Jean-François Couchot, David Laiymani, Philippe Selles, Azzedine Rahmani