ML Anthology

Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia

Milan Dojchinovski, Tomás Kliegr
ECML-PKDD 2013 pp. 654-658
doi:10.1007/978-3-642-40994-3_48 /ecmlpkdd/2013/dojchinovski2013ecmlpkdd-entityclassifier/

Abstract

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.

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Cite

Text

Dojchinovski and Kliegr. "Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013. doi:10.1007/978-3-642-40994-3_48

Markdown

[Dojchinovski and Kliegr. "Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2013.](https://mlanthology.org/ecmlpkdd/2013/dojchinovski2013ecmlpkdd-entityclassifier/) doi:10.1007/978-3-642-40994-3_48

BibTeX

@inproceedings{dojchinovski2013ecmlpkdd-entityclassifier,
  title     = {{Entityclassifier.eu: Real-Time Classification of Entities in Text with Wikipedia}},
  author    = {Dojchinovski, Milan and Kliegr, Tomás},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2013},
  pages     = {654-658},
  doi       = {10.1007/978-3-642-40994-3_48},
  url       = {https://mlanthology.org/ecmlpkdd/2013/dojchinovski2013ecmlpkdd-entityclassifier/}
}