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Zan et al., 2022 - Google Patents

S 2 ql: Retrieval augmented zero-shot question answering over knowledge graph

Zan et al., 2022

Document ID
4548941824970553340
Author
Zan D
Wang S
Zhang H
Yan Y
Wu W
Guan B
Wang Y
Publication year
Publication venue
Pacific-Asia Conference on Knowledge Discovery and Data Mining

External Links

Snippet

Abstract Knowledge Graph Question Answering (KGQA) is a challenging task that aims to obtain the entities from the given Knowledge Graph (KG) to answer the user's natural language questions. Most existing studies are focused on the traditional KGQA task, where …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G—PHYSICS
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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
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    • G06F17/30389—Query formulation
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    • G06F17/30861—Retrieval from the Internet, e.g. browsers
    • G06F17/30864—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
    • G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
    • G06K9/62—Methods or arrangements for recognition using electronic means
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