Difference between revisions of "Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia"

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{{Infobox work
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| title = Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia
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| date = 2016
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| authors = [[Alessandro Raganato]]<br />[[Claudio Delli Bovi]]<br />[[Roberto Navigli]]
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| link = https://dl.acm.org/citation.cfm?id=3061026
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}}
 
'''Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Alessandro Raganato]], [[Claudio Delli Bovi]] and [[Roberto Navigli]].
 
'''Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia''' - scientific work related to [[Wikipedia quality]] published in 2016, written by [[Alessandro Raganato]], [[Claudio Delli Bovi]] and [[Roberto Navigli]].
  
 
== Overview ==
 
== Overview ==
 
The hyperlink structure of [[Wikipedia]] constitutes a key resource for many [[Natural Language Processing]] tasks and applications, as it provides several million semantic annotations of entities in context. Yet only a small fraction of mentions across the entire Wikipedia corpus is linked. In this paper authors present the automatic construction and evaluation of a Semantically Enriched Wikipedia (SEW) in which the overall number of linked mentions has been more than tripled solely by exploiting the structure of Wikipedia itself and the wide-coverage sense inventory of BabelNet. As a result authors obtain a sense-annotated corpus with more than 200 million annotations of over 4 million different concepts and [[named entities]]. Authors then show that corpus leads to competitive results on multiple tasks, such as Entity Linking and Word Similarity.
 
The hyperlink structure of [[Wikipedia]] constitutes a key resource for many [[Natural Language Processing]] tasks and applications, as it provides several million semantic annotations of entities in context. Yet only a small fraction of mentions across the entire Wikipedia corpus is linked. In this paper authors present the automatic construction and evaluation of a Semantically Enriched Wikipedia (SEW) in which the overall number of linked mentions has been more than tripled solely by exploiting the structure of Wikipedia itself and the wide-coverage sense inventory of BabelNet. As a result authors obtain a sense-annotated corpus with more than 200 million annotations of over 4 million different concepts and [[named entities]]. Authors then show that corpus leads to competitive results on multiple tasks, such as Entity Linking and Word Similarity.
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== Embed ==
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=== Wikipedia Quality ===
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Raganato, Alessandro; Bovi, Claudio Delli; Navigli, Roberto. (2016). "[[Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia]]". AAAI Press.
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=== English Wikipedia ===
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{{cite journal |last1=Raganato |first1=Alessandro |last2=Bovi |first2=Claudio Delli |last3=Navigli |first3=Roberto |title=Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia |date=2016 |url=https://wikipediaquality.com/wiki/Automatic_Construction_and_Evaluation_of_a_Large_Semantically_Enriched_Wikipedia |journal=AAAI Press}}
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=== HTML ===
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Raganato, Alessandro; Bovi, Claudio Delli; Navigli, Roberto. (2016). &amp;quot;<a href="https://wikipediaquality.com/wiki/Automatic_Construction_and_Evaluation_of_a_Large_Semantically_Enriched_Wikipedia">Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia</a>&amp;quot;. AAAI Press.
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[[Category:Scientific works]]

Latest revision as of 11:14, 14 June 2020


Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia
Authors
Alessandro Raganato
Claudio Delli Bovi
Roberto Navigli
Publication date
2016
Links
Original

Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia - scientific work related to Wikipedia quality published in 2016, written by Alessandro Raganato, Claudio Delli Bovi and Roberto Navigli.

Overview

The hyperlink structure of Wikipedia constitutes a key resource for many Natural Language Processing tasks and applications, as it provides several million semantic annotations of entities in context. Yet only a small fraction of mentions across the entire Wikipedia corpus is linked. In this paper authors present the automatic construction and evaluation of a Semantically Enriched Wikipedia (SEW) in which the overall number of linked mentions has been more than tripled solely by exploiting the structure of Wikipedia itself and the wide-coverage sense inventory of BabelNet. As a result authors obtain a sense-annotated corpus with more than 200 million annotations of over 4 million different concepts and named entities. Authors then show that corpus leads to competitive results on multiple tasks, such as Entity Linking and Word Similarity.

Embed

Wikipedia Quality

Raganato, Alessandro; Bovi, Claudio Delli; Navigli, Roberto. (2016). "[[Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia]]". AAAI Press.

English Wikipedia

{{cite journal |last1=Raganato |first1=Alessandro |last2=Bovi |first2=Claudio Delli |last3=Navigli |first3=Roberto |title=Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia |date=2016 |url=https://wikipediaquality.com/wiki/Automatic_Construction_and_Evaluation_of_a_Large_Semantically_Enriched_Wikipedia |journal=AAAI Press}}

HTML

Raganato, Alessandro; Bovi, Claudio Delli; Navigli, Roberto. (2016). &quot;<a href="https://wikipediaquality.com/wiki/Automatic_Construction_and_Evaluation_of_a_Large_Semantically_Enriched_Wikipedia">Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia</a>&quot;. AAAI Press.