<div dir="ltr">My understanding of prototypes was more about the s-v-o patterns in which the more central categories tend to appear, e.g.<div><br></div><div>{Person} fire {Person}</div><div>{Person} fire {Weapon}</div><div>
<br></div><div>and the interesting exceptions, e.g. Eastenders speak, {Person} fire {Building} e.g. 'Frank Butcher fired the car lot to get the insurance money', 'Didn't he also fire the Queen Vic?'</div>
<div><br></div><div>Phil</div></div><div class="gmail_extra"><br><br><div class="gmail_quote">On Mon, Jun 30, 2014 at 4:33 AM, John F Sowa <span dir="ltr"><<a href="mailto:sowa@bestweb.net" target="_blank">sowa@bestweb.net</a>></span> wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">On 6/29/2014 3:09 AM, Kevin B. Cohen wrote:<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
More from Patrick Hanks, forwarded by his permission.<br>
</blockquote>
<br>
Thanks for the note and the references. I agree that Hanks' book<br>
makes a strong case for his theory of norms and exploitations (TNE).<br>
In particular, the following point is well taken:<br>
<br>
Hanks, _Lexical Analysis: Norms and Exploitations_, p. 19<br>
<blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex">
At the time of writing (2010), knowledge-rich approaches to NLP have<br>
tended to achieve limited success, while knowledge-poor statistical<br>
approaches have achieved remarkable successes over the preceding two<br>
or three decades. This suggests that maybe knowledge-rich approaches<br>
to linguistic processing have been rich in the wrong kind of knowledge,<br>
have been based on wrong assumptions, or have lacked reliable foundations.<br>
It seems likely, however, that sooner or later statistical approaches<br>
will hit a ceiling and the pendulum will swing back to artificial<br>
intelligence (AI), involving knowledge about ways in which the intricate<br>
networks of words in a language are used to represent the world, its<br>
entities, and its events. TNE points to a possible integration of<br>
statistical approaches with representations of linguistic and world knowledge.<br>
</blockquote>
<br>
John<br>
<br>
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</blockquote></div><br></div>