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Deep Learning for Legal NLP

Recent advances in deep learning present awesome new opportunities to do sophisticated natural language processing on legal texts: the texts that underly our very way of life. Thomson Reuters is the leading provider of annotated legal information in the world.

In this talk, I’ll outline some of the challenges and advancements that we have made in Thomson Reuters Labs applying new deep-learning-based technologies to court cases, civil complaints, and other legal documents for summarization, categorization, and information extraction purposes.

Beyond Accuracy: Behavioral Testing of NLP Models with CheckList

We will present CheckList, a task-agnostic methodology and tool for testing NLP models inspired by principles of behavioral testing in software engineering....