Pilaluisa et al., 2023 - Google Patents
Contextual word embeddings for tabular data search and integrationPilaluisa et al., 2023
View HTML- 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 …
Classifications
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- 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
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- G06F17/30669—Translation of the query language, e.g. Chinese to English
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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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