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Entityclassifier.eu: Real-time Classification of Entities in Text with Wikipedia
Milan Dojchinovski1,2, Tomáš Kliegr2
1 Faculty of Information TechnologyCzech Technical University in Prague
2Faculty of Informatics and StatisticsUniversity of Economics, Prague
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery Discovery in Databases (ECMLPKDD 2013)
September 23-27, 2013, Prague, CZ
Milan [email protected] - @m1ci - http://dojchinovski.mk
Except where otherwise noted, the content of this presentation is licensed underCreative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Czech Technical University in Prague
University of Economics Prague
What is Entityclassifier.eu?
‣ Fully-automated Named Entity Recognition (NER) system- entity spotting - rule based lexico-syntactic patterns- entity disambiguation - unique identification with Wikipedia/DBpedia URIs- entity classification - using types from the DBpedia Ontology- entity linking - entities linked with concepts from DBpedia and YAGO
2Entityclassifier.eu: Real-time Classification of Entities in Text with Wikipedia - @m1ci - http://dojchinovski.mk
Advantages of using Entityclassifier.eu
‣ Real-time mining- previously unknown entities can be disambiguated and classified in real-time‣ Right type granularity- most frequent type, as selected by the Wikipedia editors, extracted from free text
‣ Multilinguality- can process English, German and Dutch texts
3Entityclassifier.eu: Real-time Classification of Entities in Text with Wikipedia - @m1ci - http://dojchinovski.mk
Availability
‣ Web application - http://entityclassfier.eu‣ REST API- API documentation http://entityclassifier.eu/thd/docs/
4Entityclassifier.eu: Real-time Classification of Entities in Text with Wikipedia - @m1ci - http://dojchinovski.mk
Live demo!http://entityclassifier.eu
Feedback
5
Thank you!Questions, comments, ideas?
Milan Dojchinovski @[email protected] http://dojchinovski.mk
Except where otherwise noted, the content of this presentation is licensed underCreative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
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