IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge

3 Jun 2020Siddhant AroraSrikanta BedathurMaya RamanathDeepak Sharma

Knowledge Graphs (KGs) extracted from text sources are often noisy and lead to poor performance in downstream application tasks such as KG-based question answering.While much of the recent activity is focused on addressing the sparsity of KGs by using embeddings for inferring new facts, the issue of cleaning up of noise in KGs through KG refinement task is not as actively studied. Most successful techniques for KG refinement make use of inference rules and reasoning over ontologies... (read more)

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