Abstract
In this paper we explain the difference between twoaspects of semantic relatedness: taxonomic and thematic relations. We notice the lack of evaluation tools for measuring thematic relatedness, identify two datasets that can be recommended as thematic benchmarks, and verify them experimentally. In further experiments, we use these datasets to perform a comprehensive analysis of the performance of an extensive sample of computational models ofsemantic relatedness, classified according to the sources of information they exploit. We report models that are best at each of the two dimensions of semantic relatedness and those that achieve a good balance between the two.
Original language | English |
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Pages (from-to) | 645-682 |
Number of pages | 38 |
Journal | Language Resources and Evaluation |
Volume | 54 |
Issue number | 3 |
DOIs | |
Publication status | Published - 1 Sep 2020 |
Keywords
- Evaluation datasets
- Semantic relatedness
- Thematic relations
- Word vector representations