@inproceedings{ferret-2017-turning,
title = "Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion",
author = "Ferret, Olivier",
editor = "Kondrak, Greg and
Watanabe, Taro",
booktitle = "Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)",
month = nov,
year = "2017",
address = "Taipei, Taiwan",
publisher = "Asian Federation of Natural Language Processing",
url = "https://aclanthology.org/I17-1028",
pages = "273--283",
abstract = "In this article, we propose to investigate a new problem consisting in turning a distributional thesaurus into dense word vectors. We propose more precisely a method for performing such task by associating graph embedding and distributed representation adaptation. We have applied and evaluated it for English nouns at a large scale about its ability to retrieve synonyms. In this context, we have also illustrated the interest of the developed method for three different tasks: the improvement of already existing word embeddings, the fusion of heterogeneous representations and the expansion of synsets.",
}
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%0 Conference Proceedings
%T Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion
%A Ferret, Olivier
%Y Kondrak, Greg
%Y Watanabe, Taro
%S Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)
%D 2017
%8 November
%I Asian Federation of Natural Language Processing
%C Taipei, Taiwan
%F ferret-2017-turning
%X In this article, we propose to investigate a new problem consisting in turning a distributional thesaurus into dense word vectors. We propose more precisely a method for performing such task by associating graph embedding and distributed representation adaptation. We have applied and evaluated it for English nouns at a large scale about its ability to retrieve synonyms. In this context, we have also illustrated the interest of the developed method for three different tasks: the improvement of already existing word embeddings, the fusion of heterogeneous representations and the expansion of synsets.
%U https://aclanthology.org/I17-1028
%P 273-283
Markdown (Informal)
[Turning Distributional Thesauri into Word Vectors for Synonym Extraction and Expansion](https://aclanthology.org/I17-1028) (Ferret, IJCNLP 2017)
ACL