Legal Question Answering with Bidirectional LSTMs

ROSS Intelligence enables legal professionals to find analyze legal issues and find hidden information and cuts down on research time by using artificial intelligence specialized in legal research. Recent advances in neural networks applied to natural language processing have brought results that are close to human performance in some tasks. However, this approach is still nascent in legal research and it has been identified as potentially fruitful. By reviewing and adding to the most recent developments in natural language processing and machine learning available in academic literature, this project aims to increase the reliability and capability of this artificial intelligence.

Faculty Supervisor:

Frank Rudzicz

Student:

Partner:

ROSS Intelligence Inc

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

University of Toronto

Program: