The application of entity linking to the scientific literature in specialised domains is a challenging area, particularly in multilingual and low-resource settings where terminology exhibits severe knowledge base sparsity. The present study investigates scientific entity linking in Kazakh and Russian across four academ...
Tatiana Batura, A. Yerimbetova, N. Mukazhanov et al.· Applied Sciences· 0 citations
The growing volume of unstructured clinical and genetic text calls for automated processing methods that can meaningfully support clinical decision-making. Most existing work, however, treats the analysis of patient clinical descriptions and the interpretation of genetic reports as unrelated tasks, disregarding the seq...
A. Shayakhmetova, M. Sambetbayeva, V. Barakhnin et al.· Information· 0 citations
Based on the proposed architecture and the selected semantic retrieval and language models, an AI legal assistant was developed and integrated into the “Adal Azamat” legal services platform providing users in Kazakhstan with practical access to AI-assisted legal consultation.
N. Mukazhanov, Z. Alibiyeva, A. Akhmediyarova et al.· Computers· 0 citations
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