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NLP2RDF | Converting NLP Tool Output to RDF

NLP2RDF is a Community project bootstrapped by LOD2 that is developing the NLP InterchangeFormat (NIF) . NIF aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. . The output of NLP tools can be converted into RDF and used in the LOD2 Stack or other graph databases. Currently a NIF 2.0 Version is created and…

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NLP2RDF is a Community project bootstrapped by LOD2 that is developing the NLP InterchangeFormat (NIF) . NIF aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. . The output of NLP tools can be converted into RDF and used in the LOD2 Stack or other graph databases. Currently a NIF 2.0 Version is created and…
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NLP2RDF | Converting NLP Tool Output to RDF | site.nlp2rdf.org Reviews

https://site.nlp2rdf.org

NLP2RDF is a Community project bootstrapped by LOD2 that is developing the NLP InterchangeFormat (NIF) . NIF aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. . The output of NLP tools can be converted into RDF and used in the LOD2 Stack or other graph databases. Currently a NIF 2.0 Version is created and…

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Demo – NLP2RDF

http://site.nlp2rdf.org/demo

Converting NLP Tool Output to RDF. You can use and test NIF 2.0 using some of our online demos and web services. Check out the following list:. Demos and Web services. Fox Implementation and Demo Web service. NIF Combinator, a demo Web service. Stanford Core NLP Web service. Snowball Stemmer Web service. DBpedia Spotlight Web service. If you are looking for more documentation and information about the status of our web services, you should access our NIF Dashboard. Leave a Reply Cancel reply.

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Documentation – NIF 2.0 – NLP2RDF

http://site.nlp2rdf.org/documentation-nif-2-0

Converting NLP Tool Output to RDF. Documentation – NIF 2.0. You can check out our documentation at http:/ persistence.uni-leipzig.org/nlp2rdf/. Or in the NIF 2.0 Dashboard. Leave a Reply Cancel reply. Enter your comment here. Fill in your details below or click an icon to log in:. Address never made public). You are commenting using your WordPress.com account. ( Log Out. You are commenting using your Twitter account. ( Log Out. You are commenting using your Facebook account. ( Log Out.

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Acknowledgements – NLP2RDF

http://site.nlp2rdf.org/acknowledgements

Converting NLP Tool Output to RDF. Todo list for this page. We are currently re-modelling everything:. Get logos from funding projects. Order and improve individual contributions. NIF and its community project NLP2RDF serve as an umbrella project liaising with other community of practices, especially:. Best Practices for Multilingual Linked Open Data Community Group. Named Entity Recognition and Disambiguation (NERD). Ontologies of Linguistic Annotation (OLiA). At University of Leipzig. Eg Maven, Jena, ).

4

Publications – NLP2RDF

http://site.nlp2rdf.org/publications

Converting NLP Tool Output to RDF. Please add your own NIF related publications by uploading your references to bibsonomy and the tag it as nlp2rdf publications. If you refer to NIF in an academic context, please cite the recent paper published at the ISWC in Use track 2013:. Integrating NLP using Linked Data. Sebastian Hellmann, Jens Lehmann, Sören Auer, and Martin Brümmer. 12th International Semantic Web Conference, 21-25 October 2013, Sydney, Australia, (2013). As well as a page for acknowledgements.

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NLP2RDF | Converting NLP Tool Output to RDF

Converting NLP Tool Output to RDF. NLP2RDF is a Community project bootstrapped by LOD2. That is developing the N. NIF aims to achieve interoperability between Natural Language Processing (NLP) tools, language resources and annotations. The output of NLP tools can be converted into RDF and used in the LOD2 Stack or other graph databases. Currently a NIF 2.0 Version is created and an overview is provided if you click on Documentation NIF 2.0. NIF provides global interoperability. This means that some stand...

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