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Open Knowledge Graph Canonicalization

Knowledge Graph Completion › Large Language Model › Knowledge Graphs › Open Knowledge Graph Canonicalization 1 평가 기록 1 datasets

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 <Barack Obama, was born in, Honolulu> and <Obama, took birth in, Honolulu> 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.

<span style="color:grey; opacity: 0.6">( Image credit: CESI: Canonicalizing Open Knowledge Bases using Embeddings and Side Information )</span>

개요는 각 항목의 일부입니다. 위 탭에서 전체 기록을 페이지별로 탐색할 수 있습니다.

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Dataset기록된 모델 예시MetricPaperCode
Galárraga et al., 2014
Base Dataset: 94.8Ambiguous dataset: 97.9ReVerb45k: 98.3
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