T.Y. Soliyev

A hybrid approach to semantic text similarity combining word embeddings and classical similarity measures

It is determined that the proposed hybrid model attains higher correlation with human judgment than standalone or traditional baselines, and is an efficient and scalable solution that balances computational performance with semantic accuracy for practical tasks.