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Zhang et al., 2021 - Google Patents

Exploiting Rich Syntax for Better Knowledge Base Question Answering

Zhang et al., 2021

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Document ID
13916576759749162063
Author
Zhang P
Jia Y
Zhu M
Chen W
Zhang M
Publication year
Publication venue
arXiv preprint arXiv:2107.07940

External Links

Snippet

Recent studies on Knowledge Base Question Answering (KBQA) have shown great progress on this task via better question understanding. Previous works for encoding questions mainly focus on the word sequences, but seldom consider the information from …
Continue reading at arxiv.org (PDF) (other versions)

Classifications

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    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • G06F17/30286—Information retrieval; Database structures therefor; File system structures therefor in structured data stores
    • G06F17/30386—Retrieval requests
    • G06F17/30424—Query processing
    • G06F17/30427—Query translation
    • G06F17/3043—Translation of natural language queries to structured queries
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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