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

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{{Infobox work
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| title = Entityclassifier.Eu: Real-Time Classification of Entities in Text with Wikipedia
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| date = 2013
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| authors = [[Milan Dojchinovski]]<br />[[Tomáš Kliegr]]
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| doi = 10.1007/978-3-642-40994-3_48
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| link = https://link.springer.com/content/pdf/10.1007%2F978-3-642-40994-3_48.pdf
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}}
 
'''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]].
 
'''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 ==
 
== 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.

Revision as of 06:34, 29 June 2020


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.