Difference between revisions of "Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia"
(Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia - basic info) |
(Adding categories) |
||
(3 intermediate revisions by 3 users not shown) | |||
Line 1: | Line 1: | ||
− | '''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. | + | {{Infobox work |
+ | | title = Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia | ||
+ | | date = 2016 | ||
+ | | authors = [[Alessandro Raganato]]<br />[[Claudio Delli Bovi]]<br />[[Roberto Navigli]] | ||
+ | | link = https://dl.acm.org/citation.cfm?id=3061026 | ||
+ | }} | ||
+ | '''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. |
+ | |||
+ | == Embed == | ||
+ | === Wikipedia Quality === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | Raganato, Alessandro; Bovi, Claudio Delli; Navigli, Roberto. (2016). "[[Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia]]". AAAI Press. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === English Wikipedia === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | {{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}} | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | === HTML === | ||
+ | <code> | ||
+ | <nowiki> | ||
+ | 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. | ||
+ | </nowiki> | ||
+ | </code> | ||
+ | |||
+ | |||
+ | |||
+ | [[Category:Scientific works]] |
Latest revision as of 11:14, 14 June 2020
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). "<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>". AAAI Press.