Mapping WordNet Instances to Wikipedia

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Mapping WordNet Instances to Wikipedia
Authors
John Philip Mccrae
Publication date
2018
Links

Mapping WordNet Instances to Wikipedia - scientific work about Wikipedia quality published in 2018, written by John Philip Mccrae.

Overview

Lexical resource differ from encyclopaedic resources and represent two distinct types of resource covering general language and named entities respectively. However, many lexical resources, including Princeton WordNet, contain many proper nouns, referring to named entities in the world yet it is not possible or desirable for a lexical resource to cover all named entities that may reasonably occur in a text. In this paper, authors propose that instead of including synsets for instance concepts PWN should instead provide links to Wikipedia articles describing the concept. In order to enable this authors have created a gold-quality mapping between all of the 7,742 instances in PWN and Wikipedia (where such a mapping is possible). As such, this resource aims to provide a gold standard for link discovery, while also allowing PWN to distinguish itself from other resources such as DBpedia or BabelNet. Moreover, this linking connects PWN to the Linguistic Linked Open Data cloud, thus creating a richer, more usable resource for natural language processing.

Embed

Wikipedia Quality

Mccrae, John Philip. (2018). "[[Mapping WordNet Instances to Wikipedia]]". Clinical Neurology and Neurosurgery Volume 166, March 2018, pp. 66-70.

English Wikipedia

{{cite journal |last1=Mccrae |first1=John Philip |title=Mapping WordNet Instances to Wikipedia |date=2018 |url=https://wikipediaquality.com/wiki/Mapping_WordNet_Instances_to_Wikipedia |journal=Clinical Neurology and Neurosurgery Volume 166, March 2018, pp. 66-70}}

HTML

Mccrae, John Philip. (2018). &quot;<a href="https://wikipediaquality.com/wiki/Mapping_WordNet_Instances_to_Wikipedia">Mapping WordNet Instances to Wikipedia</a>&quot;. Clinical Neurology and Neurosurgery Volume 166, March 2018, pp. 66-70.