[Corpora-List] software for measuring semantic similarity and relatedness?

[Weiwei Guo]

Hi Professor Pederson,

Me and Mona Diab created a new sense similarity metric *wmfvec*, which is a
latent vector version of Extended Lesk based on weighted matrix
factorization.  We evaluated on the all-words WSD tasks.

You can find the similarity package at:
http://www.cs.columbia.edu/~weiwei/code.html#wmfvec

The paper is:
[1] Weiwei Guo and Mona Diab. 2012. Learning the latent semantics of a
concept by its definition.  In proceedings of ACL 2012.
http://aclweb.org/anthology//P/P12/P12-2028.pdf

best

Weiwei Guo,
Columbia University,
www.cs.columbia.edu/~weiwei



On Mon, Oct 7, 2013 at 9:44 AM, Eneko Agirre <e.agirre at ehu.es> wrote:

>
>
> Hi Ted and all,
>
> you might want to check http://ixa2.si.ehu.es/ukb/, a graph-based
> algorithm for WSD and similarity,which uses random walks. It scores very
> high in RG65 and WordSim353 when run on WordNet, and can be applied to any
> KB.
>
> It's open source and includes all data necessary to replicate the results
> reported in the following:
>
> [3] Eneko Agirre, Enrique Alfonseca, Keith Hall, Jana Kravalova, Marius
> Pasca and Aitor Soroa. 2009. A Study on Similarity and Relatedness Using
> Distributional and WordNet-based Approaches. Proceedings of NAACL-HLT 09.
> Boulder, USA.  (PDF<https://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1239169991/publikoak/2009-naacl-long.pdf>
> )
>
> [4] Eneko Agirre, Montse Cuadros, German Rigau and Aitor Soroa. 2010.
> Exploring Knowledge Bases for Similarity. Proceedings of LREC 2010.
> Valletta, Malta.  (PDF<http://ixa.si.ehu.es/Ixa/Argitalpenak/Artikuluak/1274099085/publikoak/main.pdf>
> )
>
> best
>
> eneko
>
>
>
> 10/06/2013 05:45 PM(e)an, Ted Pedersen(e)k idatzi zuen:
>
> Greetings all,
>
> I'm preparing a tutorial on measuring semantic similarity and
> relatedness between concepts, My particular focus is on methods that
> do this using ontologies or other (at least somewhat) structured
> resources (like Wikipedia, folksonomies, etc.) and that also have
> freely available software associated with them (or at least a web
> demo).
>
> While it's a very interesting area, this particular tutorial won't
> include purely distributional approaches (due to time constraints), so
> I'm looking for methods and software that use some sort of resource
> like WordNet, Wikipedia, medical ontologies, Freebase, etc. to arrive
> at measurements of semantic similarity or relatedness between pairs of
> concepts.
>
> What follows is my current list, based not only on projects I have
> heard of but have used in the not too distant past - so I guess I'm
> particularly interested in projects you have used or created yourself
> (and can therefore vouch for to some extent).
>
> Based on WordNet, provide path, depth, info content based measures,
> may include relatedness measures like lesk, vector, hso
>
> WordNet::Similarityhttp://wn-similarity.sourcforge.net
>
> NLTKhttp://nltk.org
>
> ws4jhttps://code.google.com/p/ws4j/
>
> Based on UMLS (Unified Medical Language System), provide path, depth,
> info content measures, includes relatedness measures lesk, vector
>
> UMLS::Similarityhttp://umls-similarity.sourceforge.net
>
> Based on (GO), provide path, depth, and info content measures
>
> Proteinonhttp://lasige.di.fc.ul.pt/webtools/proteinon/
>
> I will post a summary of whatever I hear about after some period of
> time. Any hints or suggestions will be very gratefully received.
>
> Many thanks,
> Ted
>
>
>
>
> --
>
> Eneko Agirre
> Euskal Herriko Unibertsitatea
> University of the Basque Countryhttp://ixa2.si.ehu.es/eneko
>
>
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