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Pilaluisa et al., 2023 - Google Patents

Contextual word embeddings for tabular data search and integration

Pilaluisa et al., 2023

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Document ID
15740931916746668292
Author
Pilaluisa J
Tomás D
Navarro-Colorado B
Mazon J
Publication year
Publication venue
Neural Computing and Applications

External Links

Snippet

This paper presents a new approach to retrieve and further integrate tabular datasets (collections of rows and columns) using union and join operations. In this work, both processes were carried out using a similarity measure based on contextual word …
Continue reading at link.springer.com (HTML) (other versions)

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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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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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    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30386Retrieval requests
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    • G06F17/3053Query processing with adaptation to user needs using ranking
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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
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
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    • G06F17/30705Clustering or classification
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    • G06F17/30587Details of specialised database models
    • GPHYSICS
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    • G06N99/00Subject matter not provided for in other groups of this subclass

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