@inproceedings{fernando-stevenson-2012-mapping,
title = "Mapping {W}ord{N}et synsets to {W}ikipedia articles",
author = "Fernando, Samuel and
Stevenson, Mark",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/232_Paper.pdf",
pages = "590--596",
abstract = "Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks. Extending these resources is an expensive and time-consuming process. This paper describes an approach to address this problem by automatically generating a mapping from WordNet synsets to Wikipedia articles. A sample of synsets has been manually annotated with article matches for evaluation purposes. The automatic methods are shown to create mappings with precision of 87.8{\%} and recall of 46.9{\%}. These mappings can then be used as a basis for enriching WordNet with new relations based on Wikipedia links. The manual and automatically created data is available online.",
}
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<abstract>Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks. Extending these resources is an expensive and time-consuming process. This paper describes an approach to address this problem by automatically generating a mapping from WordNet synsets to Wikipedia articles. A sample of synsets has been manually annotated with article matches for evaluation purposes. The automatic methods are shown to create mappings with precision of 87.8% and recall of 46.9%. These mappings can then be used as a basis for enriching WordNet with new relations based on Wikipedia links. The manual and automatically created data is available online.</abstract>
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%0 Conference Proceedings
%T Mapping WordNet synsets to Wikipedia articles
%A Fernando, Samuel
%A Stevenson, Mark
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F fernando-stevenson-2012-mapping
%X Lexical knowledge bases (LKBs), such as WordNet, have been shown to be useful for a range of language processing tasks. Extending these resources is an expensive and time-consuming process. This paper describes an approach to address this problem by automatically generating a mapping from WordNet synsets to Wikipedia articles. A sample of synsets has been manually annotated with article matches for evaluation purposes. The automatic methods are shown to create mappings with precision of 87.8% and recall of 46.9%. These mappings can then be used as a basis for enriching WordNet with new relations based on Wikipedia links. The manual and automatically created data is available online.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/232_Paper.pdf
%P 590-596
Markdown (Informal)
[Mapping WordNet synsets to Wikipedia articles](http://www.lrec-conf.org/proceedings/lrec2012/pdf/232_Paper.pdf) (Fernando & Stevenson, LREC 2012)
ACL
- Samuel Fernando and Mark Stevenson. 2012. Mapping WordNet synsets to Wikipedia articles. In Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC'12), pages 590–596, Istanbul, Turkey. European Language Resources Association (ELRA).