My 2 cent's - This sounds similar to DeepQA, that helped IBM Watson win Jeopardy? http://researcher.watson.ibm.com/researcher/view_group.php?id=2099
On Fri, Oct 16, 2015 at 4:39 PM, cogmission (David Ray) < [email protected]> wrote: > Awesome Idea! I for one am in! > > I think there are some questions that arise concerning capability and > approach? > > My main question is: > > Considering that training a Cortical.io Fingerprint will organize SDRs > according to subject applicability, I'm not sure whether it will > differentiate according to degree of interrogative-ness? I have the same > question as to the HTM; whether predictions and anomalies can differentiate > according to degree of interrogative-ness... > > So my immediate suggestion for a solution to the above is to do it in the > "Encoder". That is, to spatially aggregate inputs (sentences) according to > their Part-Of-Speach question word order... For example: > > 1. Sentences beginning with Is, Are, Why, How, Do, What, Where, Whether > etc. should be encoded closer to each other... > 2. Sentence fragments and clauses which accomplish the same as the above, > should have the same encoding nature. > > That's all I have for now... > > On Fri, Oct 16, 2015 at 10:23 AM, Matthew Taylor <[email protected]> wrote: > >> 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 >> > > > > -- > *With kind regards,* > > David Ray > Java Solutions Architect > > *Cortical.io <http://cortical.io/>* > Sponsor of: HTM.java <https://github.com/numenta/htm.java> > > [email protected] > http://cortical.io >
