The activities of any large organization requires the work of specialists with a large volume of unstructured information in order to obtain and extract the necessary knowledge to interact with partners, decision-making, etc. An array of unstructured textual information is not adapted to structuring and semantic search. Thus, development of intelligent algorithms and text analysis methods for dynamic generation of the knowledge base contents is needed. Extract of syntagmatic structure of a text and further representation of extracted knowledge in the form of a single unified ontology allows to get access to the knowledge base for solving complex problems.
This article describes the application of the mechanisms of syntagmatic patterns in the construction of various types of question-answer (QA) systems and expert systems. QA systems are systems that can take questions and respond to them in a natural language. In most cases, the principles of building question-answer systems are used in the development of decision support systems. The mechanism of syntagmatic patterns is used when processing open-ended questions and when extracting answers to it from semi-structured resources.
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