Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish

2 Citations (Scopus)

Abstract

Our aim is to develop principled methods for sense clustering which can make existing lexi-cal resources practically useful in NLP - not too fine-grained to be operational and yet fine-grained enough to be worth the trouble. Where traditional dictionaries have a highly structured sense inventory typically describing the vocabulary by means of main- and subsenses, wordnets are generally fine-grained and un-structured. We present a series of clustering and annotation experiments with 10 of the most polysemous nouns in Danish. We com-bine the structured information of a traditional Danish dictionary with the ontological types found in the Danish wordnet, DanNet. This constellation enables us to automatically clus-ter senses in a principled way and improve in-ter-annotator agreement and wsd performance.

Original languageEnglish
Title of host publicationProceedings of Global WordNet Conference 2018
Number of pages6
Place of PublicationSingapore
PublisherGlobal WordNet Association
Publication date2018
ISBN (Electronic)978-981-11-7087-4
Publication statusPublished - 2018
EventGlobal WordNet Conference - Singapore, Singapore
Duration: 8 Jan 201812 Jan 2018

Conference

ConferenceGlobal WordNet Conference
Country/TerritorySingapore
CitySingapore
Period08/01/201812/01/2018

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