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

[Alexander Osherenko]

I considered measuring semantic similarity using findings in PhD of
Alexander Budanitsky. Here is a brief introduction -- Budanitsky, Alexander
and Hirst, Graeme, Evaluating WordNet-based Measures of Lexical Semantic
Relatedness (dl.acm.org/citation.cfm?id=1168108).


Am Sonntag, 6. Oktober 2013 schrieb Michele Filannino <
michele.filannino at cs.manchester.ac.uk>:
> Dear Prof. Pedersen,
> I would also add:
>
> DISCO
> Web page | Demo | Paper
>
> Bests,
> michele.
>
> On Sun, Oct 6, 2013 at 4:45 PM, Ted Pedersen <tpederse at d.umn.edu> wrote:
>>
>> 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::Similarity
>> http://wn-similarity.sourcforge.net
>>
>> NLTK
>> http://nltk.org
>>
>> ws4j
>> https://code.google.com/p/ws4j/
>>
>> Based on UMLS (Unified Medical Language System), provide path, depth,
>> info content measures, includes relatedness measures lesk, vector
>>
>> UMLS::Similarity
>> http://umls-similarity.sourceforge.net
>>
>> Based on (GO), provide path, depth, and info content measures
>>
>> Proteinon
>> http://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
>>
>> --
>> Ted Pedersen
>> http://www.d.umn.edu/~tpederse
>>
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>
>
>
> --
> Michele Filannino
>
> CDT PhD student in Computer Science
> Room IT301 - IT Building
> The University of Manchester
> filannim at cs.manchester.ac.uk

-- 
Alexander Osherenko
Dr. rer. nat, CEO and R&D
<http://www.socioware.de/>
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