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Open Knowledge Graph Canonicalization

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보존된 평가 기록
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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>

평가 결과

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Noun Phrase Canonicalization

원본 태스크: Large Language Model / Knowledge Graphs / Open Knowledge Graph Canonicalization

평가 기록 1건

출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.