| Autor: |
Tikhomirov, M. M., Loukachevitch, N. V. |
| Zdroj: |
Lobachevskii Journal of Mathematics; Aug2023, Vol. 44 Issue 8, p3169-3177, 9p |
| Abstrakt: |
This paper presents an approach to creating interpretable word embeddings, in which each component of the vector corresponds to some interpretable semantic category. To obtain such categories, a lexico-semantic resource is used in the form of the RuWordNet semantic network, as well as a representative corpus of Russian-language texts to train vector representations. The resulting interpretable embeddings were evaluated on semantic similarity tasks. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
|
Full text from SpringerLink