Neural Reasoning for Legal Text Understanding
نویسندگان
چکیده
We propose a domain specific Question Answering system. We deviate from approaching this problem as a Textual Entailment task. We implemented a Memory Network-based Question Answering system which test a Machine’s understanding of legal text and identifies whether an answer to a question is correct or wrong, given some background knowledge. We also prepared a corpus of real USA MBE Bar exams for this task. We report our initial result and direction for future works.
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