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Emami et al., 2021 - Google Patents

Designing a deep neural network model for finding semantic similarity between short persian texts using a parallel corpus

Emami et al., 2021

Document ID
11446792597784444432
Author
Emami Z
Tabatabayiseifi S
Izadi M
Tavakoli M
Publication year
Publication venue
2021 7th International Conference on Web Research (ICWR)

External Links

Snippet

Text processing, as one of the main issues in the field of artificial intelligence, has received a lot of attention in recent decades. Numerous methods and algorithms are proposed to address the task of semantic textual similarity which is one of the sub-branches of text …
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Classifications

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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
    • G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
    • 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
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    • G06F17/2809—Data driven translation
    • G06F17/2827—Example based machine translation; Alignment
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    • G06F17/271—Syntactic parsing, e.g. based on context-free grammar [CFG], unification grammars
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    • G—PHYSICS
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    • G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G—PHYSICS
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    • G06K9/6842—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries according to the linguistic properties, e.g. English, German

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