Difference between revisions of "Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia"

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== Overview ==
 
== Overview ==
 
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.
 
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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== Embed ==
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=== Wikipedia Quality ===
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Dojchinovski, Milan; Kliegr, Tomáš. (2013). "[[Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-40994-3_48.
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=== English Wikipedia ===
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{{cite journal |last1=Dojchinovski |first1=Milan |last2=Kliegr |first2=Tomáš |title=Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia |date=2013 |doi=10.1007/978-3-642-40994-3_48 |url=https://wikipediaquality.com/wiki/Entityclassifier.Eu:_Real-Time_Classification_of_Entities_in_Text_with_Wikipedia |journal=Springer, Berlin, Heidelberg}}
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=== HTML ===
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Dojchinovski, Milan; Kliegr, Tomáš. (2013). &amp;quot;<a href="https://wikipediaquality.com/wiki/Entityclassifier.Eu:_Real-Time_Classification_of_Entities_in_Text_with_Wikipedia">Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia</a>&amp;quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-40994-3_48.
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Revision as of 10:00, 15 February 2021


Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia
Authors
Milan Dojchinovski
Tomáš Kliegr
Publication date
2013
DOI
10.1007/978-3-642-40994-3_48
Links
Original

Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia - scientific work related to Wikipedia quality published in 2013, written by Milan Dojchinovski and Tomáš Kliegr.

Overview

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.

Embed

Wikipedia Quality

Dojchinovski, Milan; Kliegr, Tomáš. (2013). "[[Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia]]". Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-40994-3_48.

English Wikipedia

{{cite journal |last1=Dojchinovski |first1=Milan |last2=Kliegr |first2=Tomáš |title=Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia |date=2013 |doi=10.1007/978-3-642-40994-3_48 |url=https://wikipediaquality.com/wiki/Entityclassifier.Eu:_Real-Time_Classification_of_Entities_in_Text_with_Wikipedia |journal=Springer, Berlin, Heidelberg}}

HTML

Dojchinovski, Milan; Kliegr, Tomáš. (2013). &quot;<a href="https://wikipediaquality.com/wiki/Entityclassifier.Eu:_Real-Time_Classification_of_Entities_in_Text_with_Wikipedia">Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia</a>&quot;. Springer, Berlin, Heidelberg. DOI: 10.1007/978-3-642-40994-3_48.