A comprehensive analysis of the parameters in the creation and comparison of feature vectors in distributional semantic models for multiple languages
Measuring the semantic similarity and relatedness of words is important for many natural language processing tasks. Although distributional semantic models designed for this task have many different parameters, such as vector similarity measures, weighting schemes and dimensionality reduction techni...
Elmentve itt :
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| További közreműködők: | |
| Dokumentumtípus: | Disszertáció |
| Megjelent: |
2019-11-15
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| Kulcsszavak: | distributional semantic models semantic similarity and relatedness best combination of parameter settings comparison of findings across languages English, Spanish and Hungarian |
| Tárgyszavak: | |
| doi: | 10.14232/phd.10120 |
| mtmt: | 30895463 |
| Online Access: | http://doktori.ek.szte.hu/10120 |