Some papers (and software) regarding Semantic Similarity can be found at
http://afflatus.ucd.ie/~ebbis/.
I not sure if it will fit your needs, but it might be worth looking at.
Cheers,
Nuno Seco
> -----Original Message-----
> From: owner-corpora@lists.uib.no
> [mailto:owner-corpora@lists.uib.no] On Behalf Of Jana Diesner
> Sent: quinta-feira, 20 de Janeiro de 2005 16:36
> To: CORPORA@hd.uib.no
> Subject: [Corpora-List] semantic similarity
>
>
> Dear list members,
>
> We are looking for strategies, algorithms or code to
> automatically find single terms or multiple adjacent terms
> that are semantically similar within and across documents.
> The approach must not require POS tagging or an initial
> input of a reference term to the system. The resulting
> clusters of semantically similar terms suggested by the
> system do not need to be exclusive. We are familiar with
> secondstring, the software developed by William Cohen, and
> semantic similarity based on string-edit distances.
>
>
>
> Thank you very much.
>
> Jana
>
>
>
> ____________________
>
> Jana Diesner
> Carnegie Mellon University
>
> jdiesner@andrew.cmu.edu
>
>
>
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