Alla Chepurova — accepted AI-conference papers

2026

Wikontic: A Tool for Building Knowledge Graphs from Text Aligned with the Wikidata Ontology

Alla Chepurova, Aydar Bulatov, Mikhail Burtsev, Yuri Kuratov

AAAI 2026technical

Knowledge Graphs (KGs) provide structured, verifiable representations that ground facts and supply large language models (LLMs) with reliable real-world information. Building high-quality KGs from open-domain text remains difficult due to redundancy, inconsistency, and lack of ontology grounding. We

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2023

Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information

Alla Chepurova, Aydar Bulatov, Yuri Kuratov, Mikhail Burtsev

EMNLP 2023short findings

Real-world Knowledge Graphs (KGs) often suffer from incompleteness, which limits their potential performance. Knowledge Graph Completion (KGC) techniques aim to address this issue. However, traditional KGC methods are computationally intensive and impractical for large-scale KGs, necessitating the l…

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