Targeted Hypernym Discovery (THD) performs unsupervised classification of entities appearing in text. A hypernym mined from the free-text of the Wikipedia article describing the entity is used as a class. The type as well as the entity are cross-linked with their representation in DBpedia, and enriched with additional types from DBpedia and YAGO knowledge bases providing a semantic web interoperability. The system, available as a web application and web service at entityclassifier.eu, currently supports English, German and Dutch.

1. Entityclassifier.eu: Real-time Classification
of Entities in Text with Wikipedia
Milan Dojchinovski1,2, Tomáš Kliegr2
1 Faculty of Information Technology
Czech Technical University in Prague
2Faculty of Informatics and Statistics
University 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 Dojchinovski
milan.dojchinovski@vse.cz - @m1ci - http://dojchinovski.mk
Except where otherwise noted, the content of this presentation is licensed under
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported
Czech Technical University
in Prague
University of Economics
Prague

2. 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

3. 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

4. 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

5. Feedback
5
Thank you!
Questions, comments, ideas?
Milan Dojchinovski @m1ci
milan.dojchinovski@fit.cvut.cz http://dojchinovski.mk
Except where otherwise noted, the content of this presentation is licensed under
Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported