On Nov 12, 2007 2:51 PM, Mark Waser <[EMAIL PROTECTED]> wrote:

>  I don't know at what point you'll be blocked from answering by
> confidentiality concerns
>


I can't say much more than I will do in this email, due to customer
confidentiality concerns


> but I'll ask a few questions you hopefully can answer like:
>
>    1. How is the information input and stored in your system (i.e. Is
>    it more like simple formal assertions with a restricted syntax and/or
>    language or like English language)?
>
>
English input as well as other forms of input; NM Atom storage

Obviously English language comprehension will not be complete; and
proprietary (not Novamente's) UI devices will be used to work around this.

>
>    1.
>    2. How constrained in the information content (and is the content
>    even relevant)?
>
>
We'll work with a particular (relatively simple) text source for starters,
with a view toward later generalization

>
>    1.
>    2. To what degree does the system "understand" the information (i.e.
>    how much can in manipulate it)?
>
>
That degree will increase as we bring more and more of PLN into the system.
Initially, it'll just be simple PLN first-order term logic inference; then
we'll extend it.


>
>    1.
>    2. Who tags the information as relevant to particular users?
>
>
User feedback

>
>    1.
>    2. How constrained are the tags?
>
>
They're English

>
>    1.
>    2. What is the output
>
>
That's confidential, but it's very expressive and flexible

|  (is it just a regurgitation of appropriately tagged information pieces)?


No

-- Ben

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