Bottom-up syntax analysis for natural language texts

The need to automate the decision-making process on legal issues in various fields of human activity determines the relevance of this work. In this regard, this article is aimed at disclosing an approach to organizing the process of parsing texts in natural language for the automatic construction of a semantic network corresponding to the given input documents. The subject area is the field of legal information. The approach proposed by the authors opens up wide possibilities for the semantic analysis of legal documents and their comparison with each other. The article discusses the organization of the process of bottom-up parsing natural language texts for the further automatic building a semantic network. The authors propose the text parsing algorithm. Its results are applicable for the further formation of the knowledge base on the available texts of legal documents. Semantic networks are supposed to be used as a model for representing knowledge, which opens up broad prospects for the automation of legal information processing. In addition to solving the problems of making decisions on legal issues that are often encountered in practice, the considered approach will automate the solution of such a time-consuming task as the automation of the legal examination of regulatory legal acts. The implementation of this procedure is necessary in order for the adopted regulatory legal acts to comply with the principles of admissibility and legality of their inclusion in the current system of law.

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