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Open Knowledge Graph Canonicalization

Open Information Extraction approaches leads to creation of large Knowledge bases (KB) from the web. The problem with such methods is that their entities and relations are not canonicalized, which leads to storage of redundant and ambiguous facts. For example, an Open KB storing ** and ** doesn't know that Barack Obama and Obama mean the same entity. Similarly, took birth in and was born in also refer to the same relation. Problem of Open KB canonicalization involves identifying groups of equivalent entities and relations in the KB.

( Image credit: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information )

Papers

Showing 13 of 3 papers

TitleStatusHype
COMBO: A Complete Benchmark for Open KG CanonicalizationCode0
Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning0
CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side InformationCode0
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