Podcasts Technology The TWIML AI Podcast (formerly This Week in Machine Learning & Artificial Intelligence) Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49

Symbolic and Sub-Symbolic Natural Language Processing with Jonathan Mugan - TWiML Talk #49

Published: Sept. 25, 2017, 8:56 p.m.

b'Like last week\\u2019s interview with Bruno Goncalves, this week\\u2019s interview was also recorded at the last O\\u2019Reilly AI Conference back in New York in June. Also like last week\\u2019s show, this week\\u2019s is also focused on Natural Language Processing and I think you\\u2019ll enjoy it. I\\u2019m 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. You can find the notes for this show at twimlai.com/talk/49'