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Yilmaz et al., 2023 - Google Patents

Snippet Generation Using Local Alignment for Information Retrieval (LAIR)

Yilmaz et al., 2023

Document ID
15742692040524498492
Author
Yilmaz M
Cicekli N
Publication year
Publication venue
The International Conference on Artificial Intelligence and Applied Mathematics in Engineering

External Links

Snippet

This paper proposes the method LAIR, which is an adaptation of the local sequence alignment method, commonly used in bioinformatics to identify similarities between gene sequences, for information retrieval in snippet generation. This adaptation draws parallels …
Continue reading at link.springer.com (other versions)

Classifications

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    • G06F—ELECTRICAL DIGITAL DATA PROCESSING
    • 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
    • G06F17/3066—Query translation
    • G06F17/30669—Translation of the query language, e.g. Chinese to English
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G06F17/30634—Querying
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    • G06F17/30675—Query execution
    • G06F17/30684—Query execution using natural language analysis
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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
    • G06F17/30867—Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems with filtering and personalisation
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    • G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
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