Hi Mohammed,
As Rafa stated, for the "OpenNLP Custom NER Model" you need to train
your own OpenNLP NER model. If you have done that just copy the model
to the 'stanbol/datafiles' directory. After that you can configure the
"OpenNLP Custom NER Model" engine by providing
* a name
* the name of model file (in the 'stanbol/datafiles' directory)
* the type mappings ( {ner-type} > {concept-uri}). Where {ner-type} is
the name of the entities in the training set - the <START:{ner-type}>
<END> annotations. The {concept-uri} is the URI used as value for the
dc:type properties added to fise:TextAnnotations
best
Rupert
On Thu, May 30, 2013 at 7:39 PM, Rafa Haro <rh...@zaizi.com> wrote:
> Hi Mohammad,
>
> Maybe your question is more suitable for OpenNLP mail list but I can try to
> help you. First you need to clarify if you want to build a document
> classifier or an enhancer, because maybe a document classifier doesn't
> really fit what an enhancement mean in Stanbol.
>
> If you want to build your custom "concept" or Named entity recognition
> engine, you have some different options. Maybwe the easiest one is to train
> your custom OpenNLP NER model and then integrate it in an engine in
> Stanbol. You can follow OpenNLP documentation for that [1]. You would need
> some custom training data for your problem domain.
>
> In the other hand, if you have your own dataset or vocabulary and you want
> to link surface forms or concept mentions in text with such dataset, you
> should create an EntityHub site for your data an configure a new Entity
> Linking engine. You can then also follow a quite helpful guide at Stanbol
> website [2].
>
> I hope these two links are useful for your first steps.
>
> Cheers
>
> [1] -
> http://opennlp.apache.org/documentation/1.5.3/manual/opennlp.html#tools.namefind
> [2] - https://stanbol.apache.org/docs/trunk/customvocabulary.html
>
> El jueves, 30 de mayo de 2013, Mohammad Benslimne escribió:
>
>> Hello folks,
>>
>> I am developping for my undergraduate project a document
>> classifier/extractor.
>> I would like use your tools, espacially the OpenNLP Custom NER Model
>> extraction engine to define what kind of data to extract.
>> Can you please fill me examples how to make it woking out?
>> How can I make my own name Finder models and type mapping?
>>
>> Thanks in advance for your precious hints
>>
>>
>> Regards,
>> Med
>>
>
> --
>
> ------------------------------
> This message should be regarded as confidential. If you have received this
> email in error please notify the sender and destroy it immediately.
> Statements of intent shall only become binding when confirmed in hard copy
> by an authorised signatory.
>
> Zaizi Ltd is registered in England and Wales with the registration number
> 6440931. The Registered Office is 222 Westbourne Studios, 242 Acklam Road,
> London W10 5JJ, UK.
--
| Rupert Westenthaler rupert.westentha...@gmail.com
| Bodenlehenstraße 11 ++43-699-11108907
| A-5500 Bischofshofen
