Abstract: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 rep… Show more
“…There are currently many approaches to the analysis of texts in natural language [1,11,12,13,14,15,16,17]. Statistical and/or linguistic methods for the analysis of texts in natural language underlie such approaches.…”
Section: An Algorithm For Constructing Syntagmatic Patternsmentioning
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.
“…There are currently many approaches to the analysis of texts in natural language [1,11,12,13,14,15,16,17]. Statistical and/or linguistic methods for the analysis of texts in natural language underlie such approaches.…”
Section: An Algorithm For Constructing Syntagmatic Patternsmentioning
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.
This article describes the method of building a domain ontology based on the linguistic analysis of content of text resources. Also an example of the proposed approach and the architecture of our pipeline presents. Representation of the problem area (PrA) in the form of a domain ontology is often used in the process of development of intelligent software systems and used as a knowledge base. The process of building an ontology is complex and requires an expert in the PrA. A large number of researchers are working to solve this problem. The basis of our approach is the use of a pipeline of different linguistic methods of text analysis. The set of rules developed by us is used to build an ontology based on the content analysis of a text resource.
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