Efficient Methods for Natural Language Processing

Roy Schwartz is Professor of Natural Language Processing at The Hebrew University of Jerusalem. We discussed a recent survey paper that Roy co-wrote that presented a broad overview of existing methods to improve NLP efficiency through the lens of traditional NLP pipelines. Subscribe to the Gradient Flow Newsletter: https://gradientflow.substack.com/ Subscribe: Apple • Android • Spotify • Stitcher • Google • AntennaPod • RSS. Detailed show notes can be found on The Data Exchange...

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A series of informal conversations with thought leaders, researchers, practitioners, and writers on a wide range of topics in technology, science, and of course big data, data science, artificial intelligence, and related applications. Anchored by Ben Lorica (@BigData), the Data Exchange also features a roundup of the most important stories from the worlds of data, machine learning and AI. Detailed show notes for each episode can be found on https://thedataexchange.media/ The Data Exchange podcast is a production of Gradient Flow [https://gradientflow.com/].