Towards a principled approach to sense clustering – a case study of wordnet and dictionary senses in Danish
Bolette Sandford Pedersen, Manex Agirrezabal, Sanni Nimb, Ida Olsen, Sussi Olsen · 2018
Our aim is to develop principled methods for sense clustering which can make existing lexical resources practically useful in NLPnot 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 main-and 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.