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[ontolog-forum] Semantics, Representations and Grammars for Deep Learnin

To: "'[ontolog-forum] '" <ontolog-forum@xxxxxxxxxxxxxxxx>
From: "Rich Cooper" <metasemantics@xxxxxxxxxxxxxxxxxxxxxx>
Date: Sun, 25 Oct 2015 12:32:17 -0700
Message-id: <02ca01d10f5b$dc0d1320$94273960$@com>

Dear OntoLogicists,


The subject says it all.  This is a 17 page paper with 3 pages more in references about how the neural net crowd seems to have straightened a curve in getting to natural language in a deeper sense than just voice recognition.  The paper is at:




The author seems to have the EE math culture viewpoint leading to some very interesting ways to learn such odd things as those discussed in Women, Fire and Dangerous Things by exposure to a large enough number of samples. 


Does anyone have a good tutorial in mind on recent NN to NLP practice?



Rich Cooper,

Rich Cooper,


Chief Technology Officer,

MetaSemantics Corporation

MetaSemantics AT EnglishLogicKernel DOT com

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