On Sat, Jul 31, 2010 at 5:41 AM, Gregg Williams wrote:
>
> I've begun work on a visual front-end to display such infocards, using
> Clojure and the Piccolo graphics library (http://piccolo2d.org/). If
> you (or anybody else reading this) find this larger project
> interesting, please contact me by
Daniel (and anyone else reading this)
I would like to correspond with you because I'm working on a project
for which your "word graphing" is a subset. I invented a
"standardized" electronic notecard (see http://infoml.org), with the
idea that writers and others could dump "chunks" of information (
On Thu, 2010-07-29 at 10:11 -0400, rob levy wrote:
> Also, most of NLTK works in Jython*, and by extension in Jython
> running in Clojure ( which is why I started writing a convenience
> wrapper to make it easier to use python libraries:
> http://code.google.com/p/clojure-python/ ).
>
> *Actuall
I think that a big part of the problem is that most approaches to word
similarity (especially thesaurus-based approaches like Wordnet, but also the
significantly better distributional approaches) use very impoverished
representations of knowledge. As such, they are unable to make useful
inferences
I think that a big part of the problem is that most approaches to word
similarity (especially thesaurus-based approaches like Wordnet, but also the
significantly better distributional approaches) use very impoverished
representations of knowledge. As such, they are unable to make useful
inferences
As others have said, this is a difficult problem, but a fascinating
one too. I'm currently nibbling on building some grouping-by-
similarity algorithms for Clojure, although I'm sticking to numerical
criteria for similarity or "distance". New developments in text
analysis and the Learning by Readin
I think there were some talks about this on the conference I went to
recently. Keywords might be "natural language processing". Linked is
the abstracts of the conference, which you might find some use in.
http://www.insna.org/PDF/Sunbelt/4_ProgramPDF.pdf
One alternative I briefly considered is to
I've done quite a lot of work in this area, although not in clojure.
As Mark mentioned, wordnet is definitely a good place to start, but
it's short on proper nouns, which reduces the utility of this when
analyzing natural language. I ended up extending wordnet by data
mining wikipedia dumps. The re
On Wed, Jul 28, 2010 at 2:58 PM, Daniel wrote:
> I want to write a clojure program that searches for similarities of
> words in the english language and places them in a graph, where the
> distance between nodes indicates their similarity. I don't mean
> syntactical similarity. Related contextua
What you describe is not clojure specific, so...
Check out the NLTK project. It is all in Python, and all of the big
book are written for learning to use the tools in Python. However, it
also contains a lot of talk about Natural Language Processing in
general.
http://www.nltk.org/book
I, mysel
Just went to a conference where some people were working on that, if I
remember correctly. keywords like natural language processing are
handy to know :-).
http://www.insna.org/PDF/Sunbelt/4_ProgramPDF.pdf
Anyway, for the practical part. I found using java processing library
in combination with t
As others have said, there isn't an algorithm that does this. Useful
results depend on precise definitions of "context" and "similarity."
The waters get deep quickly.
As a clojure exercise, though, there are lots of good starting points.
For instance: get a set of words, create all pairs from the
A very good place to start searching about edit distances between words and
some related stuff can be found on Peter Norvigs site at:
http://norvig.com/spell-correct.html
Also, try to find some wikipedia articles about the bm25 ranking algorithm, I
used clojure for an assignment at school that
On 7/28/10 5:34 PM, Mark Engelberg wrote:
> Wordnet is the main existing thing that comes to mind as related to your
> idea.
>
You might also want to look into Freebase. Here's a Clojure client you
can use to query their data. http://github.com/rnewman/clj-mql
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This is a hard problem.
If you go by degrees and shades of synonymity, it can (and has been)
done manually - see Visual Thesaurus (http://
www.visualthesaurus.com/).
But for grouping based on the same semantic topics - that's pretty
difficult. You could do it based on co-location in a corpus, but
Wordnet is the main existing thing that comes to mind as related to your
idea.
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I want to write a clojure program that searches for similarities of
words in the english language and places them in a graph, where the
distance between nodes indicates their similarity. I don't mean
syntactical similarity. Related contextual meaning is closer to the
mark.
For instance: "fish" a
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