@inproceedings{rormann-olsen-etal-2020-building,
title = "Building Sense Representations in {D}anish by Combining Word Embeddings with Lexical Resources",
author = "R{\o}rmann Olsen, Ida and
Pedersen, Bolette and
Sayeed, Asad",
editor = "Kernerman, Ilan and
Krek, Simon and
McCrae, John P. and
Gracia, Jorge and
Ahmadi, Sina and
Kabashi, Besim",
booktitle = "Proceedings of the 2020 Globalex Workshop on Linked Lexicography",
month = may,
year = "2020",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2020.globalex-1.8",
pages = "45--52",
abstract = "Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity as typically described in dictionaries and wordnets and that are well reflected distributionally as expressed in word embeddings. To this end, we study a number of highly ambiguous Danish nouns and examine the effectiveness of sense representations constructed by combining vectors from a distributional model with the information from a wordnet. We establish representations based on centroids obtained from wordnet synests and example sentences as well as representations established via are tested in a word sense disambiguation task. We conclude that the more information extracted from the wordnet entries (example sentence, definition, semantic relations) the more successful the sense representation vector.",
language = "English",
ISBN = "979-10-95546-46-7",
}
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<abstract>Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity as typically described in dictionaries and wordnets and that are well reflected distributionally as expressed in word embeddings. To this end, we study a number of highly ambiguous Danish nouns and examine the effectiveness of sense representations constructed by combining vectors from a distributional model with the information from a wordnet. We establish representations based on centroids obtained from wordnet synests and example sentences as well as representations established via are tested in a word sense disambiguation task. We conclude that the more information extracted from the wordnet entries (example sentence, definition, semantic relations) the more successful the sense representation vector.</abstract>
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%0 Conference Proceedings
%T Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources
%A Rørmann Olsen, Ida
%A Pedersen, Bolette
%A Sayeed, Asad
%Y Kernerman, Ilan
%Y Krek, Simon
%Y McCrae, John P.
%Y Gracia, Jorge
%Y Ahmadi, Sina
%Y Kabashi, Besim
%S Proceedings of the 2020 Globalex Workshop on Linked Lexicography
%D 2020
%8 May
%I European Language Resources Association
%C Marseille, France
%@ 979-10-95546-46-7
%G English
%F rormann-olsen-etal-2020-building
%X Our aim is to identify suitable sense representations for NLP in Danish. We investigate sense inventories that correlate with human interpretations of word meaning and ambiguity as typically described in dictionaries and wordnets and that are well reflected distributionally as expressed in word embeddings. To this end, we study a number of highly ambiguous Danish nouns and examine the effectiveness of sense representations constructed by combining vectors from a distributional model with the information from a wordnet. We establish representations based on centroids obtained from wordnet synests and example sentences as well as representations established via are tested in a word sense disambiguation task. We conclude that the more information extracted from the wordnet entries (example sentence, definition, semantic relations) the more successful the sense representation vector.
%U https://aclanthology.org/2020.globalex-1.8
%P 45-52
Markdown (Informal)
[Building Sense Representations in Danish by Combining Word Embeddings with Lexical Resources](https://aclanthology.org/2020.globalex-1.8) (Rørmann Olsen et al., GLOBALEX 2020)
ACL