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SAMIR et al., 2018 - Google Patents

AMAZIGH NAMED ENTITY RECOGNITION: A NOVEL APPROACH.

SAMIR et al., 2018

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Document ID
4508859712988489948
Author
SAMIR A
LAHBIB Z
Publication year
Publication venue
Journal of Theoretical & Applied Information Technology

External Links

Snippet

Information Extraction (IE) is a sub discipline of Artificial Intelligence. IE identifies information in unstructured information source that adheres to predefined semantics ie people, location etc. Recognition of named entities (NEs) from computer readable natural language text is …
Continue reading at www.jatit.org (PDF) (other versions)

Classifications

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    • 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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    • G06F17/2765—Recognition
    • G06F17/277—Lexical analysis, e.g. tokenisation, collocates
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    • G06F17/2765—Recognition
    • G06F17/2775—Phrasal analysis, e.g. finite state techniques, chunking
    • G06F17/278—Named entity recognition
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING; COUNTING
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    • G—PHYSICS
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    • G06K9/6807—Dividing the references in groups prior to recognition, the recognition taking place in steps; Selecting relevant dictionaries
    • 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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