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
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