@inproceedings{pedersen-etal-2018-towards,
title = "Towards a principled approach to sense clustering {--} a case study of wordnet and dictionary senses in {D}anish",
author = "Pedersen, Bolette and
Agirrezabal, Manex and
Nimb, Sanni and
Olsen, Ida and
Olsen, Sussi",
editor = "Bond, Francis and
Vossen, Piek and
Fellbaum, Christiane",
booktitle = "Proceedings of the 9th Global Wordnet Conference",
month = jan,
year = "2018",
address = "Nanyang Technological University (NTU), Singapore",
publisher = "Global Wordnet Association",
url = "https://aclanthology.org/2018.gwc-1.21",
pages = "182--189",
abstract = "Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLP {--} not too fine-grained to be operational and yet finegrained enough to be worth the trouble. Where traditional dictionaries have a highly structured sense inventory typically describing the vocabulary by means of mainand subsenses, wordnets are generally fine-grained and unstructured. We present a series of clustering and annotation experiments with 10 of the most polysemous nouns in Danish. We combine the structured information of a traditional Danish dictionary with the ontological types found in the Danish wordnet, DanNet. This constellation enables us to automatically cluster senses in a principled way and improve inter-annotator agreement and wsd performance.",
}
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<abstract>Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLP – not too fine-grained to be operational and yet finegrained enough to be worth the trouble. Where traditional dictionaries have a highly structured sense inventory typically describing the vocabulary by means of mainand subsenses, wordnets are generally fine-grained and unstructured. We present a series of clustering and annotation experiments with 10 of the most polysemous nouns in Danish. We combine the structured information of a traditional Danish dictionary with the ontological types found in the Danish wordnet, DanNet. This constellation enables us to automatically cluster senses in a principled way and improve inter-annotator agreement and wsd performance.</abstract>
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%0 Conference Proceedings
%T Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish
%A Pedersen, Bolette
%A Agirrezabal, Manex
%A Nimb, Sanni
%A Olsen, Ida
%A Olsen, Sussi
%Y Bond, Francis
%Y Vossen, Piek
%Y Fellbaum, Christiane
%S Proceedings of the 9th Global Wordnet Conference
%D 2018
%8 January
%I Global Wordnet Association
%C Nanyang Technological University (NTU), Singapore
%F pedersen-etal-2018-towards
%X Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLP – not too fine-grained to be operational and yet finegrained enough to be worth the trouble. Where traditional dictionaries have a highly structured sense inventory typically describing the vocabulary by means of mainand subsenses, wordnets are generally fine-grained and unstructured. We present a series of clustering and annotation experiments with 10 of the most polysemous nouns in Danish. We combine the structured information of a traditional Danish dictionary with the ontological types found in the Danish wordnet, DanNet. This constellation enables us to automatically cluster senses in a principled way and improve inter-annotator agreement and wsd performance.
%U https://aclanthology.org/2018.gwc-1.21
%P 182-189
Markdown (Informal)
[Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish](https://aclanthology.org/2018.gwc-1.21) (Pedersen et al., GWC 2018)
ACL