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Jung, 2019 - Google Patents

Semantic vector learning for natural language understanding

Jung, 2019

Document ID
4962517108325766985
Author
Jung S
Publication year
Publication venue
Computer Speech & Language

External Links

Snippet

Natural language understanding (NLU) is a core technology for implementing natural interfaces and has received much attention in recent years. While learning embedding models has yielded fruitful results in several NLP subfields, most notably Word2Vec …
Continue reading at www.sciencedirect.com (other versions)

Classifications

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    • G06F17/3061—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
    • G—PHYSICS
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    • G06F17/30669—Translation of the query language, e.g. Chinese to English
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    • G06N99/00—Subject matter not provided for in other groups of this subclass

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