Just to make it clear:
three of our spotters are using LingPipeSpotter at the core
I should have said: three of our spotters are currently *configured* to use
LingPipeSpotter by default when you start the server. There is no
dependency in the spotters themselves.
On Mon, Jul 30, 2012 at 12:24 PM, Pablo N. Mendes <[email protected]>wrote:
>
> Hi Anuj,
> Our datasets are derived from Wikipedia and distributed under the same
> licensing terms as Wikipedia itself. They are dual licensed under the terms
> of the Creative Commons Attribution-ShareAlike 3.0 license and the GNU Free
> Documentation License.
>
> This applies to both:
> http://spotlight.dbpedia.org/datasets/
> http://spotlight.dbpedia.org/download/
>
>
>
> "After going through the documentation, I can figure out that OpenNLP
>> based models can be used for chunking and these models do not rely on
>> LingPipe dictionaries. Is that correct?"
>
>
> That is correct. We use the default OpenNLP models distributed with 1.5.1
> for chunking, NER, etc. However, some deployed spotters on our server may
> still use the LingPipe dictionary (for practical reasons)
>
>
>> "Do all of these depend on LingPipe spotting algorithm?"
>
>
> No. Only LingPipeSpotter *depends* on LingPipe. But others may still use
> it. See:
>
> https://github.com/dbpedia-spotlight/dbpedia-spotlight/blob/master/core/src/main/scala/org/dbpedia/spotlight/model/SpotlightFactory.scala#L119
>
>
> Currently, three of our spotters are using LingPipeSpotter at the core
> (AtLeastOneNounSelector, CoOccurrenceBasedSelector and
> OpenNLPChunkerSpotter) even though they could have been used with other
> implementations.
>
> Right now, NESpotter, KeaSpotter, SpotXmlParser and WikiMarkupSpotter are
> the only ones not using LingPipeSpotter.
>
> If you are running your own server, you can drop the dependencies on
> LingPipe. We want to move all the LingPipe dependencies out of core, but we
> haven't yet found the resources to do so.
>
> Cheers,
> Pablo
>
>
> On Mon, Jul 30, 2012 at 4:48 AM, Anuj Kumar <[email protected]> wrote:
>
>> Hello Everyone,
>>
>> In the recent release of 0.6 of spotlight, is there a way to spot without
>> relying on LingPipe?
>> The wiki page-
>> https://github.com/dbpedia-spotlight/dbpedia-spotlight/wiki/Spotting lists
>> 7 spotters. Do all of these depend on LingPipe spotting algorithm?
>>
>> After going through the documentation, I can figure out that OpenNLP
>> based models can be used for chunking and these models do not rely on
>> LingPipe dictionaries. Is that correct? Also, what is the license for these
>> NLP models- http://spotlight.dbpedia.org/datasets/ ?
>>
>> Thanks,
>> Anuj
>>
>>
> --
> ---
> Pablo N. Mendes
> http://pablomendes.com
> Events: http://wole2012.eurecom.fr (*Deadline: July 31st 2012*)
>
>
--
---
Pablo N. Mendes
http://pablomendes.com
Events: http://wole2012.eurecom.fr (*Deadline: July 31st 2012*)
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