Thanks Bruce.
Here is a cut and paste description of what the programming team is
considering. If you have a better
idea, let us know! (Also, this is only part of what is being contemplated;
the other part involves connections to external data bases). All ideas, and
especially donations of programming expertise,
greatfully accepted!!
mike
"Generally speaking, it is a searching problem, and we wish to train a
searching algorithm and a classifier (basically the same thing).
Alfredo had a good idea of what this work was and what it entailed.
One important question he raised was how to bootstrap his algorithm --
and he would like us to provide us a list of terms, concepts, words
that appear over and over in the discussion, or that at least his
algortithm should be keyed to as a high-value terms.
On Fri, Jul 4, 2008 at 12:59 PM, BRUCE ROBINSON <BRUCE@brucerob.eu> wrote:
> Mike,
>
> Could you give some more information about the sort of software you are
> going to write and how it would make use of these keywords? Are the keywords
> simply going to be used to tag text in a database? Or is some more complex
> mechanism such as a thesaurus with broader / narrower terms / synonyms being
> considered to aid navigation? A good starting point might be to see if any
> of the existing online databases such as Psychological Abstrscts already use
> one that could provide you with possible terms and structures. (An
> alternative might be to hire an information scientist as a consultant but
> that would cost!)
>
> As for this problem...
>
> >Also, there will items that will need further development. For
>
>> example, the word "object" will need to be
>> tagged in some way to differentiate between "I OBJECT to engaging in this
>> activity" from "The Object of this activity
>> is to improve community intellectual resources" But later for that.
>>
>
> ...take it from me (I spent a lot of time studying computerised natural
> language processing and writing NL interfaces to databases albeit it was 20
> years ago) that there is no 100% solution through formal analysis of
> syntactic and still less semantic ambiguity. As CHAT-ists would expect, in
> inter-human interaction we make a lot of use of context, what we know about
> the speaker / writer and negotiation and still manage to get it wrong quite
> often. Using a restricted and bounded vocabulary obviously helps but is just
> that - restrictive. The persistence of ambiguity was one of the things that
> helped confirm my suspicion that AI in the full sense really wasn't possible
> precisely because it couldn't provide a substitute for what goes on in our
> everyday social interactions. Useful software artefacts that appear
> intelligent obviously are possible but that's not the same thing. (I've
> always thought the Turing Test was wrong.)
>
> I don't know how far this is relevant to what you have in mind (and hope it
> doesn't just come over as being pessimistic) but with software projects it
> is always better to err on the side of not being too ambitious as multiple
> disasters in the British public sectore confirm.
>
> Bruce R
>
> Here is a quick starter set by way of examples:
>>
>> object
>> activity
>> action
>> operation
>> mediation
>> zpd=zoped=zone of proximal development
>> development
>> learning
>> identity
>> contradiction
>> power
>> gender
>> race
>> ethnicity
>> community
>> play
>> work
>> classroom
>>
>> ........................................................................................................................
>>
>> Apres vous, le deluge
>> mike
>> _______________________________________________
>> xmca mailing list
>> xmca@weber.ucsd.edu
>> http://dss.ucsd.edu/mailman/listinfo/xmca
>>
>
>
>
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Received on Fri Jul 4 15:01 PDT 2008
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