@inproceedings{lee-etal-2020-supervised,
title = "Supervised Hypernymy Detection in {S}panish through Order Embeddings",
author = "Lee, Gun Woo and
Etcheverry, Mathias and
Fernandez Sanchez, Daniel and
Wonsever, Dina",
editor = "Ionov, Maxim and
McCrae, John P. and
Chiarcos, Christian and
Declerck, Thierry and
Bosque-Gil, Julia and
Gracia, Jorge",
booktitle = "Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.ldl-1.11",
pages = "75--81",
abstract = "This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input. Although the task has been widely addressed in English, there is not much work in Spanish, and according to our knowledge there is not any available dataset for supervised hypernymy detection in Spanish. We built a supervised hypernymy dataset for Spanish from WordNet and corpus statistics information, with different versions according to the lexical intersection between its partitions: random and lexical split. We show the results of using the resulting dataset within an order embedding consuming pretrained word vectors as input. We show the ability of pretrained word vectors to transfer learning to unseen lexical units according to the results in the lexical split dataset. To finish, we study the results of giving additional information in training time, such as, cohyponym links and instances extracted through patterns.",
language = "English",
ISBN = "979-10-95546-36-8",
}
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<abstract>This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input. Although the task has been widely addressed in English, there is not much work in Spanish, and according to our knowledge there is not any available dataset for supervised hypernymy detection in Spanish. We built a supervised hypernymy dataset for Spanish from WordNet and corpus statistics information, with different versions according to the lexical intersection between its partitions: random and lexical split. We show the results of using the resulting dataset within an order embedding consuming pretrained word vectors as input. We show the ability of pretrained word vectors to transfer learning to unseen lexical units according to the results in the lexical split dataset. To finish, we study the results of giving additional information in training time, such as, cohyponym links and instances extracted through patterns.</abstract>
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%0 Conference Proceedings
%T Supervised Hypernymy Detection in Spanish through Order Embeddings
%A Lee, Gun Woo
%A Etcheverry, Mathias
%A Fernandez Sanchez, Daniel
%A Wonsever, Dina
%Y Ionov, Maxim
%Y McCrae, John P.
%Y Chiarcos, Christian
%Y Declerck, Thierry
%Y Bosque-Gil, Julia
%Y Gracia, Jorge
%S Proceedings of the 7th Workshop on Linked Data in Linguistics (LDL-2020)
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-36-8
%G English
%F lee-etal-2020-supervised
%X This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input. Although the task has been widely addressed in English, there is not much work in Spanish, and according to our knowledge there is not any available dataset for supervised hypernymy detection in Spanish. We built a supervised hypernymy dataset for Spanish from WordNet and corpus statistics information, with different versions according to the lexical intersection between its partitions: random and lexical split. We show the results of using the resulting dataset within an order embedding consuming pretrained word vectors as input. We show the ability of pretrained word vectors to transfer learning to unseen lexical units according to the results in the lexical split dataset. To finish, we study the results of giving additional information in training time, such as, cohyponym links and instances extracted through patterns.
%U https://aclanthology.org/2020.ldl-1.11
%P 75-81
Markdown (Informal)
[Supervised Hypernymy Detection in Spanish through Order Embeddings](https://aclanthology.org/2020.ldl-1.11) (Lee et al., LDL 2020)
ACL