Paris NLP Season 7 Meetup #2

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This event is in-person only and will be followed by a networking apéro. We are looking forward to seeing you all in person!

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Nils Holzenberger, Associate Professor, Télécom Paris, Institut Polytechnique de Paris

Title: Computational Statutory Reasoning

Summary : Statutory reasoning is the task of determining how laws apply to a legal case. This is a basic skill for lawyers, and in its computational form, a fundamental task for legal artificial intelligence systems. In this talk, I describe initial steps towards solving computational statutory reasoning. First, I define this task in the context of legal practice, and artificial intelligence more broadly. Second, I introduce the StAtutory Reasoning Assessment benchmark dataset (SARA). With the ability to measure performance on statutory reasoning, I show how a symbolic system can solve the task, while state-of-the-art machine reading struggles. Third, I connect statutory reasoning to established natural language processing tasks, in an attempt to diagnose machine reading errors. This yields more annotations on SARA and a performance boost compared to initial baselines, and opens up statutory reasoning to the general NLP community.

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Marine Vinyes, Machine Learning Engineer Lead @ Criteo

Title: How CLIP models can help you leverage image and text data ?

Summary: Two years ago, OpenAI released CLIP, a model that efficiently embeds image and text representations in a same space. Since then, many open source variants have surfaced. In this talk I will show how to use it to leverage your image and text data. As a use case I will explain how it is used at Criteo on billions of images and text from catalogs data.