@inproceedings{herrera-etal-2016-strategies,
title = "Some strategies for the improvement of a {S}panish {W}ord{N}et",
author = "Herrera, Matias and
Gonzalez, Javier and
Chiruzzo, Luis and
Wonsever, Dina",
editor = "Fellbaum, Christiane and
Vossen, Piek and
Mititelu, Verginica Barbu and
Forascu, Corina",
booktitle = "Proceedings of the 8th Global WordNet Conference (GWC)",
month = "27--30 " # jan,
year = "2016",
address = "Bucharest, Romania",
publisher = "Global Wordnet Association",
url = "https://aclanthology.org/2016.gwc-1.18/",
pages = "115--122",
abstract = "Although there are currently several versions of Princeton WordNet for different languages, the lack of development of some of these versions does not make it possible to use them in different Natural Language Processing applications. So is the case of the Spanish Wordnet contained in the Multilingual Central Repository (MCR), which we tried unsuccessfully to incorporate into an anaphora resolution application and also in search terms expansion. In this situation, different strategies to improve MCR Spanish WordNet coverage were put forward and tested, obtaining encouraging results. A specific process was conducted to increase the number of adverbs, and a few simple processes were applied which made it possible to increase, at a very low cost, the number of terms in the Spanish WordNet. Finally, a more complex method based on distributional semantics was proposed, using the relations between English Wordnet synsets, also returning positive results."
}
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<abstract>Although there are currently several versions of Princeton WordNet for different languages, the lack of development of some of these versions does not make it possible to use them in different Natural Language Processing applications. So is the case of the Spanish Wordnet contained in the Multilingual Central Repository (MCR), which we tried unsuccessfully to incorporate into an anaphora resolution application and also in search terms expansion. In this situation, different strategies to improve MCR Spanish WordNet coverage were put forward and tested, obtaining encouraging results. A specific process was conducted to increase the number of adverbs, and a few simple processes were applied which made it possible to increase, at a very low cost, the number of terms in the Spanish WordNet. Finally, a more complex method based on distributional semantics was proposed, using the relations between English Wordnet synsets, also returning positive results.</abstract>
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%0 Conference Proceedings
%T Some strategies for the improvement of a Spanish WordNet
%A Herrera, Matias
%A Gonzalez, Javier
%A Chiruzzo, Luis
%A Wonsever, Dina
%Y Fellbaum, Christiane
%Y Vossen, Piek
%Y Mititelu, Verginica Barbu
%Y Forascu, Corina
%S Proceedings of the 8th Global WordNet Conference (GWC)
%D 2016
%8 27–30 jan
%I Global Wordnet Association
%C Bucharest, Romania
%F herrera-etal-2016-strategies
%X Although there are currently several versions of Princeton WordNet for different languages, the lack of development of some of these versions does not make it possible to use them in different Natural Language Processing applications. So is the case of the Spanish Wordnet contained in the Multilingual Central Repository (MCR), which we tried unsuccessfully to incorporate into an anaphora resolution application and also in search terms expansion. In this situation, different strategies to improve MCR Spanish WordNet coverage were put forward and tested, obtaining encouraging results. A specific process was conducted to increase the number of adverbs, and a few simple processes were applied which made it possible to increase, at a very low cost, the number of terms in the Spanish WordNet. Finally, a more complex method based on distributional semantics was proposed, using the relations between English Wordnet synsets, also returning positive results.
%U https://aclanthology.org/2016.gwc-1.18/
%P 115-122
Markdown (Informal)
[Some strategies for the improvement of a Spanish WordNet](https://aclanthology.org/2016.gwc-1.18/) (Herrera et al., GWC 2016)
ACL