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Klang et al., 2018 - Google Patents

Linking, searching, and visualizing entities in wikipedia

Klang et al., 2018

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Document ID
3582873452759551672
Author
Klang M
Nugues P
Publication year
Publication venue
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Snippet

In this paper, we describe a new system to extract, index, search, and visualize entities in Wikipedia. To carry out the entity extraction, we designed a high-performance, multilingual, entity linker and we used a document model to store the resulting linguistic annotations. The …
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Classifications

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    • G06F17/3061Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F17/30634Querying
    • G06F17/30657Query processing
    • G06F17/30675Query execution
    • G06F17/30684Query execution using natural language analysis
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    • G06F17/30634Querying
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    • G06F17/3066Query translation
    • G06F17/30669Translation of the query language, e.g. Chinese to English
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    • G06F17/30613Indexing
    • G06F17/30619Indexing indexing structures
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    • G06F17/30861Retrieval from the Internet, e.g. browsers
    • G06F17/30864Retrieval from the Internet, e.g. browsers by querying, e.g. search engines or meta-search engines, crawling techniques, push systems
    • G06F17/30867Retrieval 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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    • G06F17/00Digital computing or data processing equipment or methods, specially adapted for specific functions
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    • G06F17/30705Clustering or classification
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    • G06F17/30908Information retrieval; Database structures therefor; File system structures therefor of semistructured data, the undelying structure being taken into account, e.g. mark-up language structure data

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