Hi Juhi, here are some links that might be relevant to you :
https://github.com/dbpedia-spotlight/dbpedia-spotlight/issues/291
https://github.com/dbpedia-spotlight/dbpedia-spotlight/pull/298
They are more related to the surface form matching, hope it helps.
On Sat, Mar 7, 2015 at 8:30 AM, JUHI TANDON <[email protected]> wrote:
> Hello Thiago,
>
> Thanks for the reply.
> Could you please provide the links of discussion ? I found these pages
> https://github.com/dbpedia-spotlight/dbpedia-spotlight/wiki/Warm-up-tasks
> and https://github.com/dbpedia-spotlight/dbpedia-spotlight/issues/ but
> nothing in particular relted to these two projects.
>
> Regards,
> Juhi
>
> On Thu, Mar 5, 2015 at 2:36 AM, Thiago Galery <[email protected]> wrote:
>
>> Hi juhi, as a follow up to David, I highly recommend you taking a look
>> at issues and PR pages of dbpedia spotlight's github repo. There's some
>> detailed discussion on these two issues.
>> All the best, Thiago.
>> On 4 Mar 2015 10:09, "David Przybilla" <[email protected]> wrote:
>>
>>> Hi Juhi,
>>>
>>> Any particular interest among those two?
>>> In the description we referenced a few papers which could be used as
>>> potential ideas.
>>>
>>> DBpedia Spotlight – Better Surface Form Matching:
>>>
>>> We are currently having some problems with linguistic variations. One of
>>> the ideas (but it is not fixed so feel free to bring yours as well :] )
>>> could be to use the superstring matching from the Babelfy paper. But It
>>> would also be nice to mix it with some of the methods described in: [1]
>>>
>>>
>>> DBpedia Spotlight – Better Context Vectors:
>>>
>>> The quality of the context vectors seems a bit weird for some entities.
>>> Values are not normalised, among other issues.
>>> The aim here is to improve context vectors/disambiguation.
>>>
>>> Some of the ideas could be: use glove/word2vec entity vectors.
>>> But also maybe bringing some ideas from discourse parsing like the ones
>>> described in [2]
>>>
>>>
>>> A good start if you are interested would probably be:
>>>
>>> - taking a quick look at the mentioned papers to get some ideas
>>> - play a bit with spotlight ( demo
>>> http://dbpedia-spotlight.github.io/demo/ )
>>> - try to set it up locally, (compile it, run it)
>>> - trying to understand how the spotlight stores work. Probably the
>>> paper describing how spotlight works should be a good overview [3]
>>>
>>> [1] https://aclweb.org/anthology/P/P11/P11-1095.pdf
>>> [2] http://www.aclweb.org/anthology/C14-1213
>>> [3] http://blog.semantic-web.at/wp-content/uploads/2011/09/p1_mendes.pdf
>>>
>>> On Wed, Mar 4, 2015 at 9:23 AM, Marco Fossati <[email protected]>
>>> wrote:
>>>
>>>> Hi Juhi,
>>>>
>>>> you should send all your inquiries in the mailing list (in CC).
>>>> Please check out the following page with our project ideas:
>>>> http://wiki.dbpedia.org/gsoc2015/ideas
>>>>
>>>> Cheers!
>>>>
>>>> On 3/3/15 2:58 PM, JUHI TANDON wrote:
>>>> > Hello Marco,
>>>> >
>>>> > I am Juhi Tandon pursuing my major in Computational Linguistics from
>>>> > IIIT Hyderabad. I am an NLP enthusiast and as such I found the
>>>> projects
>>>> > these projects particularly interesting :
>>>> >
>>>> >
>>>> > DBpedia Spotlight – Better Context Vectors and
>>>> >
>>>> >
>>>> > DBpedia Spotlight – Better Surface Form Matching
>>>> >
>>>> > I would like to contribute to one of these projects as a part of GSOC
>>>> > 2015 Program. If the mentors can please provide some insights on where
>>>> > to begin from.
>>>> >
>>>> > Thanks and Regards,
>>>> >
>>>> > Juhi
>>>>
>>>> --
>>>> Marco Fossati
>>>> http://about.me/marco.fossati
>>>> Twitter: @hjfocs
>>>> Skype: hell_j
>>>>
>>>>
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>>>>
>>>
>>>
>>>
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>>> things parallel software development, from weekly thought leadership
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>>>
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by Intel and developed in partnership with Slashdot Media, is your hub for all
things parallel software development, from weekly thought leadership blogs to
news, videos, case studies, tutorials and more. Take a look and join the
conversation now. http://goparallel.sourceforge.net/
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