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Lahbari et al., 2023 - Google Patents

Exploring Sentence Embedding Representation for Arabic Question Answering

Lahbari et al., 2023

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Document ID
10540398984146518745
Author
Lahbari I
Alaoui S
Publication year
Publication venue
Int. J. Comput. Digit. Syst

External Links

Snippet

Question Answering Systems (QAS) are made to automatically provide accurate response to user questions that are phrased in natural language. Most of the existing QAS adopting traditional representations like word embedding and bag-of-words, have shown promising …
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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
    • G06—COMPUTING; CALCULATING; COUNTING
    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
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    • G06F17/30634—Querying
    • G06F17/30657—Query processing
    • G06F17/3066—Query translation
    • G06F17/30669—Translation of the query language, e.g. Chinese to English
    • G—PHYSICS
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    • G—PHYSICS
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