Robust Deep Reinforcement Learning for Extractive Legal Summarization

Nguyen, Duy-Hung1, Nguyen, Bao-Sinh1, Nghiem, Nguyen Viet Dung1, Le, Dung Tien1, Khatun, Mim Amina1, Nguyen, Minh-Tien1,2, Le, Hung3

Tóm tắt

Automatic summarization of legal texts is an important and still a challenging task since legal documents are often long and complicated with unusual structures and styles. Recent advances of deep models trained end-to-end with differentiable losses can...