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    Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan

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    Like last week’s interview with Bruno Goncalves, this week’s interview was also recorded at the last O’Reilly AI Conference back in New York in June. Also like last week’s show, this week’s is also focused on Natural Language Processing and I think you’ll enjoy it. 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 my conversation with Bruno, 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.

    TWiML Online Meetup

    the details for the upcoming TWiML Online Meetup have been set!! On Oct 18 at 3pm PT, We will discuss the paper Visual Attribute Transfer through Deep Image Analogy, by Jing Liao and others from Microsoft Research. The discussion will be led by Duncan Stothers. (Thanks Duncan!) For anyone who’s has missed the last two meetups, or for those that haven’t yet joined the group, please visit twimlai.com/meetup. There you’ll find Video Recaps of the last 2 meetups, along with a link to the paper we’ll be reviewing next month. If you’d like to present your favorite paper, we’d love to have you do it. Just shoot us an email at team@twimlai.com to get the ball rolling.

    About Jonathan

    Mentioned in the Interview

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