Difference between revisions of "Automatic Construction and Evaluation of a Large Semantically Enriched Wikipedia"
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| + | | 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]]. | '''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. | ||
Revision as of 08:14, 18 July 2019
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.
