article_4_Bul_45_29_07.pdf692.96 KB

Entity alignment algorithms aim to find equivalent entities in cross-lingual knowledge graphs, which is important for the task of obtaining information about real-world objects. Recently, several studies have been conducted on entity alignment algorithms on various datasets. Algorithms using information about entity names have shown a wide range of results...

Article _1_Bul_45_.pdf1023.8 KB

This paper describes the experiments for the task on information extraction from news texts in Russian in a setting with a wide variety of types of entities and relations. We have adapted the SpERT model which uses the BERT network as a core for the joint extraction of entities and...