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- W3124513739 abstract "The curation of a knowledge base is a crucial but costly task. In this work, we suggest to make use of the advances in neural network research to improve the automated correction of constraint violations. Our method is a deep learning refinement of [], and similarly uses the edits that solved some violations in the past to infer how to solve similar violations in the present. Our system makes use of the graph content, literal embeddings, and features extracted from Web pages to improve its performance. The experimental evaluation on Wikidata shows significant improvements over baselines." @default.
- W3124513739 created "2021-02-01" @default.
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- W3124513739 date "2021-01-01" @default.
- W3124513739 modified "2023-10-15" @default.
- W3124513739 title "Neural Knowledge Base Repairs" @default.
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- W3124513739 doi "https://doi.org/10.1007/978-3-030-77385-4_17" @default.
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