FIELD: information technology.
SUBSTANCE: in the method of the text synthesis data objects are received in natural language and among the received data objects data objects and associated synthesis templates in the template library are selected. Wherein each synthesis template includes semantic and syntactic template tree. The semantic and syntactic tree is created for each selected data object based on the semantic and syntactic tree pattern. Text in natural language is created based on each generated semantic and syntactic tree.
EFFECT: improved accuracy of synthesizing the text on the basis of the data extracted from the text.
18 cl, 19 dwg
Title | Year | Author | Number |
---|---|---|---|
METHOD AND SYSTEM FOR MACHINE EXTRACTION AND INTERPRETATION OF TEXT INFORMATION | 2015 |
|
RU2592396C1 |
SYSTEM AND METHOD OF CREATING AND USING USER ONTOLOGY-BASED PATTERNS FOR PROCESSING USER TEXT IN NATURAL LANGUAGE | 2015 |
|
RU2596599C2 |
EXTRACTING INFORMATION FROM STRUCTURED DOCUMENTS CONTAINING TEXT IN NATURAL LANGUAGE | 2015 |
|
RU2607976C1 |
METHOD AND SYSTEM FOR STORING AND SEARCHING INFORMATION EXTRACTED FROM TEXT DOCUMENTS | 2015 |
|
RU2605077C2 |
METHOD OF EXTRACTING FACTS FROM TEXTS ON NATURAL LANGUAGE | 2016 |
|
RU2637992C1 |
RECOVERY OF TEXT ANNOTATIONS RELATED TO INFORMATION OBJECTS | 2017 |
|
RU2665261C1 |
EXTRACTION OF INFORMATION USING ALTERNATIVE VARIANTS OF SEMANTIC-SYNTACTIC ANALYSIS | 2016 |
|
RU2646386C1 |
USING VERIFIED BY USER DATA FOR TRAINING MODELS OF CONFIDENCE | 2016 |
|
RU2646380C1 |
SYSTEM AND METHOD OF CREATING AND USING USER SEMANTIC DICTIONARIES FOR PROCESSING USER TEXT IN NATURAL LANGUAGE | 2015 |
|
RU2584457C1 |
SYSTEM AND METHOD FOR AUTOMATIC CREATION OF TEMPLATES | 2018 |
|
RU2697647C1 |
Authors
Dates
2017-02-08—Published
2015-03-19—Filed