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- Title
Evaluating Computational Models of Similarity against a Human Rated Dataset.
- Authors
BARBU, Eduard; BARBU MITITELU, Verginica
- Abstract
The first genuine human-rated similarity set for the Romanian language aligned with an English similarity dataset is presented. Two computational models automatically learn the similarity scores for the word pairs in the similarity set. The first model learns the similarity scores from language corpora. The second one assigns a similarity score based on the taxonomic structure of a semantic network. We studied what model captures human similarity scores best, the language influence on the perception of similarity, and the impact of parts of speech on similarity.
- Subjects
SIMILARITY (Psychology); PARTS of speech; ROMANIAN language; HUMAN beings; ENGLISH language
- Publication
Baltic Journal of Modern Computing, 2022, Vol 10, Issue 3, p295
- ISSN
2255-8942
- Publication type
Article
- DOI
10.22364/bjmc.2022.10.3.03