Hello NuPIC, Here is a question for anyone interested in NLP, Cortical.IO's API, and phrase classification...
This tweet from Carin Meier got me thinking last night: https://twitter.com/gigasquid/status/654802085335068672 Could we do this with text fingerprints from Cortical and HTM? What if we put together a collection of human-gathered "statements" and a list of "questions". For each phrase, we turned each word into an SDR via Cortical's API, and train one model on the statement phrases (resetting sequences between phrases) and one for questions. So we'll have one model that's only seen statements and one that's only seen phrases. If there are typical word patterns that exist mostly in one type of phrase or another, it may be possible to feed new phrases as SDRs into each model, and use the lowest anomaly to identify whether it is a statement or question? Does this seem feasible? Is anyone interested in this project? Thanks, --------- Matt Taylor OS Community Flag-Bearer Numenta
