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Entityclassifier.eu (also known as THD) is a named entity recognizer whici performs pattern-based entity spotting, entity linking with the DBpedia (resp. Wikipedia) and YAGO knowledge bases, and unsupervised entity classification with classes from the DBpedia and YAGO ontologies.

Quick links:

• Online demo here.
• Installation instruction in our wiki page.

Current team:

• Milan Dojchinovski (Principle Contact / Maintainer)
• Tomas Kliegr

Publications:

• [1] M. Dojchinovski and T. Kliegr: Entityclassifier.eu: Real-time Classification of Entities in Text with Wikipedia, ECMLPKDD'13, Prague, Czech Republic, Springer Verlag, September 2013

• [2] M. Dojchinovski and T. Kliegr: Recognizing, Classifying and Linking Entities with Wikipedia and DBpedia, The 7th Workshop on Intelligent and Knowledge Oriented Technologies, Smolenice, Slovakia, Slovak University of Technology (STU), November 2012

• [3] M. Dojchinovski, T. Kliegr, I. Lasek and O. Zamazal: Wikipedia Search as Effective Entity Linking Algorithm , TAC KBP 2013 Workshop, Text Analysis Conference 2013, Gaithersburg, USA, National Institute of Standards and Technology (NIST), February 2014

• [4] M. Dojchinovski, I. Lasek, O. Zamazal and T. Kliegr: Entityclassifier.eu and SemiTags: Entity Discovery, Linking and Classification with Wikipedia and DBpedia (to appear), TAC KBP 2014 Workshop, Text Analysis Conference 2014, Gaithersburg, USA, National Institute of Standards and Technology (NIST), February 2015

Other related publications:

• [5] T. Kliegr, V. Zeman and M. Dojchinovski: Linked Hypernyms Dataset - Generation Framework and Use Cases, 3rd Workshop on Linked Data in Linguistics: Multilingual Knowledge Resources and Natural Language Processing, LREC 2014, Reykjavik, Iceland, Online proceedings, May 2014

Licensed under the GNU General Public License Version 3 (GNU GPLv3).

Copyright (c) 2012-2015 Milan Dojchinovski ([email protected])