Song et al., 2019 - Google Patents
Semantic query graph based SPARQL generation from natural language questionsSong et al., 2019
- Document ID
- 1983120348439942263
- Author
- Song S
- Huang W
- Sun Y
- Publication year
- Publication venue
- Cluster Computing
External Links
Snippet
In order to precisely represent natural language questions (NLQs) in question answering system (QAS) and provide a more naturally interactive mode, we require SPARQL, a formalized query patterns, instead of search expression to express the user's semantic query …
- 150000001875 compounds 0 abstract description 12
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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- G06F17/30634—Querying
- G06F17/30657—Query processing
- G06F17/3066—Query translation
- G06F17/30669—Translation of the query language, e.g. Chinese to English
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- G06F17/30389—Query formulation
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