Speaking about chat bots. There are the usual simple bots based on keywords and simple fixed coded branches.
But for more advanced bots, that uses NLP (eg Stanford's CoreNLP). What's the next step? What do you do with input sentence, each word labeled as noun, adverb, person, company, etc ? I imagine a list of sentence structure templates and calc the probability. This step is only very briefly and vaguely mentioned in literature (books, papers).
Can you recommend some blogs, sample code, tutorials that explain that step, how resonate based on NLP lib? And where machine learning comes in, to improve the trained data?
But for more advanced bots, that uses NLP (eg Stanford's CoreNLP). What's the next step? What do you do with input sentence, each word labeled as noun, adverb, person, company, etc ? I imagine a list of sentence structure templates and calc the probability. This step is only very briefly and vaguely mentioned in literature (books, papers).
Can you recommend some blogs, sample code, tutorials that explain that step, how resonate based on NLP lib? And where machine learning comes in, to improve the trained data?