Papers by Alla Chepurova
Better Together: Enhancing Generative Knowledge Graph Completion with Language Models and Neighborhood Information (2023.findings-emnlp)
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| Challenge: | Knowledge graph completion (KGC) methods are computationally intensive and impractical for large-scale KGs. |
| Approach: | They propose to include node neighborhoods as additional information to improve KGC methods based on language models. |
| Outcome: | The proposed method outperforms KGT5 and conventional methods on inductive and transductive Wikidata subsets and shows its importance. |
Wikontic: Constructing Wikidata-Aligned, Ontology-Aware Knowledge Graphs with Large Language Models (2026.eacl-long)
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| Challenge: | Knowledge graphs provide structured, verifiable grounding for large language models . current LLMs use KGs as auxiliary structures for text retrieval . |
| Approach: | They propose a pipeline that constructs KGs from open-domain texts using triplets and qualifiers. |
| Outcome: | The proposed pipeline outperforms existing methods in retrieval-augmented generation. |