Litvin et al., 2022 - Google Patents
A New Approach to Automatic Ontology Generation from the Natural Language Texts with Complex Inflection Structures in the Dialogue Systems Development.Litvin et al., 2022
View PDF- Document ID
- 8806081580766491627
- Author
- Litvin A
- Velychko V
- Kaverinskiy V
- Publication year
- Publication venue
- UkrPROG
External Links
Snippet
An integrated approach is created for the development of natural language dialogue systems driven by an ontological graph database. Ontology here has a defined regular structure that contains typed semantic relationships between concepts, as well as related …
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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- G—PHYSICS
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- G06F17/21—Text processing
- G06F17/22—Manipulating or registering by use of codes, e.g. in sequence of text characters
- G06F17/2247—Tree structured documents; Markup, e.g. Standard Generalized Markup Language [SGML], Document Type Definition [DTD]
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- G06F17/2765—Recognition
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- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
- G06F17/30908—Information 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
- G06F17/30914—Mapping or conversion
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- G06F17/2881—Natural language generation
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- G—PHYSICS
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