Difference between revisions of "Mapping Wordnet Domains, Wordnet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources"
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+ | | title = Mapping Wordnet Domains, Wordnet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources | ||
+ | | date = 2014 | ||
+ | | authors = [[Spandana Gella]]<br />[[Carlo Strapparava]]<br />[[Vivi Nastase]] | ||
+ | | link = http://www.lrec-conf.org/proceedings/lrec2014/pdf/122_Paper.pdf | ||
+ | }} | ||
'''Mapping Wordnet Domains, Wordnet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Spandana Gella]], [[Carlo Strapparava]] and [[Vivi Nastase]]. | '''Mapping Wordnet Domains, Wordnet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources''' - scientific work related to [[Wikipedia quality]] published in 2014, written by [[Spandana Gella]], [[Carlo Strapparava]] and [[Vivi Nastase]]. | ||
== Overview == | == Overview == | ||
In this paper authors present the mapping between [[WordNet]] domains and WordNet topics, and the emergent [[Wikipedia categories]]. This mapping leads to a coarse alignment between WordNet and [[Wikipedia]], useful for producing domain-specific and [[multilingual]] corpora. Multilinguality is achieved through the cross-language links between Wikipedia [[categories]]. Research in word-sense disambiguation has shown that within a specific domain, relevant words have restricted senses. The multilingual, and comparable, domain-specific corpora authors produce have the potential to enhance research in word-sense disambiguation and terminology extraction in [[different language]]s, which could enhance the performance of various NLP tasks. | In this paper authors present the mapping between [[WordNet]] domains and WordNet topics, and the emergent [[Wikipedia categories]]. This mapping leads to a coarse alignment between WordNet and [[Wikipedia]], useful for producing domain-specific and [[multilingual]] corpora. Multilinguality is achieved through the cross-language links between Wikipedia [[categories]]. Research in word-sense disambiguation has shown that within a specific domain, relevant words have restricted senses. The multilingual, and comparable, domain-specific corpora authors produce have the potential to enhance research in word-sense disambiguation and terminology extraction in [[different language]]s, which could enhance the performance of various NLP tasks. |
Revision as of 10:25, 17 October 2019
Authors | Spandana Gella Carlo Strapparava Vivi Nastase |
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Publication date | 2014 |
Links | Original |
Mapping Wordnet Domains, Wordnet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources - scientific work related to Wikipedia quality published in 2014, written by Spandana Gella, Carlo Strapparava and Vivi Nastase.
Overview
In this paper authors present the mapping between WordNet domains and WordNet topics, and the emergent Wikipedia categories. This mapping leads to a coarse alignment between WordNet and Wikipedia, useful for producing domain-specific and multilingual corpora. Multilinguality is achieved through the cross-language links between Wikipedia categories. Research in word-sense disambiguation has shown that within a specific domain, relevant words have restricted senses. The multilingual, and comparable, domain-specific corpora authors produce have the potential to enhance research in word-sense disambiguation and terminology extraction in different languages, which could enhance the performance of various NLP tasks.