Learner" <cmunell@googlegroups.com>
Date: Wed, 31 Aug 2011 01:36:33 -0700 (PDT)
From: Manny <mwa...@gmail.com>
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To: cmunell@googlegroups.com
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 <alpine.LFD.2.00.1108301530250.6016@linux1.gp.cs.cmu.edu>
Subject: Aw: Re: [cmunell] Different concepts for singular and plural forms
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Hi Bryan,

You are of course right, classes versus instances is always a tricky thing. 
But I believe, the slightly simpler case of NELL learning a singular and a 
plural form of the same class (as I think is the case with hamster / 
hamsters) is a bit easier to tackle. Then again, it might require a 
different kind of learner. I do wonder if it would be possible to tap Oxford 
Dictionaries for that. Granted, there should also be a few restrictions as 
to when singular and plural classes become related (or merged), or Apple 
(Computers) could end up getting linked to apples.

By the way, we are in the process of trying to employ NELL to measure 
semantic relatedness between terms and use it as one of the knowledge bases 
our classifiers use to identify potential co-references within texts. The 
reason I brought this up is the following: I did notice that our path length 
algorithms could not link "hamster" and "rodent", but were quickly able to 
find a short path between "hamsters" and "rodents". But there is no need to 
"fix" this within NELL if you are running out of resources; we'll try to 
extend our KB import process with a reduction step that attempts to find 
such cases and merge concepts as necessary. If you want to, I'll report back 
and tell you how that went.

Manuel

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Hi Bryan,<div><br></div><div>You are of course right, classes versus instan=
ces is always a tricky thing. But I believe, the slightly simpler case of N=
ELL learning a singular and a plural form of the same class (as I think is =
the case with hamster / hamsters) is a bit easier to tackle. Then again, it=
 might require a different kind of learner. I do wonder if it would be poss=
ible to tap Oxford Dictionaries for that. Granted, there should also be a f=
ew restrictions as to when singular and plural classes become related (or m=
erged), or Apple (Computers) could end up getting linked to apples.</div><d=
iv><br></div><div>By the way, we are in the process of trying to employ NEL=
L to measure semantic relatedness between terms and use it as one of the kn=
owledge bases our classifiers use to identify potential co-references withi=
n texts. The reason I brought this up is the following: I did notice that o=
ur path length algorithms could not link "hamster" and "rodent", but were q=
uickly able to find a short path between "hamsters" and "rodents". But ther=
e is no need to "fix" this within NELL if you are running out of resources;=
 we'll try to extend our KB import process with a reduction step that attem=
pts to find such cases and merge concepts as necessary. If you want to, I'l=
l report back and tell you how that went.</div><div><br></div><div>Manuel</=
div>
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