Papers with CogNet

2 papers
CogIE: An Information Extraction Toolkit for Bridging Texts and CogNet (2021.acl-demo)

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Challenge: CogNet is a knowledge base that integrates three types of knowledge: linguistic knowledge, world knowledge and commonsense knowledge.
Approach: They propose an information extraction toolkit called CogIE that is a bridge connecting raw texts and CogNet.
Outcome: The proposed toolkit can ground raw texts to CogNet and leverage different types of knowledge to enrich extracted results.
CogNet: A Large-Scale Cognate Database (P19-1)

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Challenge: Existing cognate databases have limited practical applications for research, despite their wide coverage and limited use in lexical tasks.
Approach: They introduce a new large-scale lexical database that provides cognates across languages.
Outcome: The proposed database contains 3.1 million cognate pairs across 338 languages and has an accuracy of 94%.

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