Legal Question Answering with Machine Comprehension

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


Colton Chapin



Computer science


Information and communications technologies




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