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    Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan

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    This week I’m joined by Jonathan Mugan, co-founder and CEO of Deep Grammar, a company that is building a grammar checker using deep learning and what they call deep symbolic processing. This interview is a great complement to last week’s, also on NLP, and we cover a variety of topics from both the sub-symbolic and symbolic schools of NLP, such as attention mechanisms like sequence to sequence, and ontological approaches like WordNet, synsets, FrameNet, and SUMO.

     

    NOTE: I host a weekly podcast on all things machine learning and AI. The episodes are syndicated here for CloudPulse visitors. The main page for the show is over on the This Week in Machine Learning & AI podcast web site. Check out the complete notes for this show here:

    Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan – This Week in Machine Learning & AI

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