Danish Similarity Data Set (date: Nov. 18, 2019)

  Creators

Schneidermann, Nina

  Item identifier

http://hdl.handle.net/20.500.12115/39

 Project URL

https://github.com/kuhumcst/Danish-Similarity-Dataset

 Date issued

2019-11-18

 Type

lexicalConceptualResource

 Size

198 other

 Language(s)

Danish

 Description

The Danish similarity dataset is a gold standard resource for evaluation of Danish word embedding models. The dataset consists of 99 word pairs rated by 38 human judges according to their semantic similarity, i.e. the extend to which the two words are similar in meaning, in a normalized 0-1 range. Note that this dataset provides a way of measuring similarity rather than relatedness/association. Description of files included in this material: (Note: In both of the included files, rows correspond to items (word pairs) and columns to properties of each item.) All_sims_da.csv: Contains the non-normalized mean similarity scores over all judges, along with the non-normalized scores given by each of the 38 judges on the scale 0-6, where 0 is given to the most dissimilar items and 6 to the most similar items. Gold_sims_da.csv: Contains the similarity gold standard for each item, which is the normalized mean similarity score for a given item over all judges. Scores are normalized to a 0-1 range, where 0 denotes the minimum degree of similarity and 1 denotes the maximum degree of similarity.

 Publisher

Centre for Language Technology, NorS, University of Copenhagen

 Subject(s)

similarity data set Danish

 Collection(s)

CLARIN-DK-UCPH Repository

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