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

TY - GEN

T1 - Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish

AU - Pedersen, Bolette Sandford

AU - Aguirrezabal Zabaleta, Manex

AU - Nimb, Sanni

AU - Olsen, Sussi

AU - Rørmann, Ida

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

M3 - Article in proceedings

BT - Proceedings of Global WordNet Conference 2018

PB - Global WordNet Association

CY - Singapore

T2 - Global WordNet Conference

Y2 - 8 January 2018 through 12 January 2018

ER -