FIELD: computing technology.
SUBSTANCE: disclosed is a method for retrieving named entities from textual information, implemented by at least one computing apparatus, comprising the stages wherein: the textual information is obtained; the text is divided into words; the text is tokenised to obtain a token sequence; a set of vectors is formed by means of a neural network for the obtained token sequence; a vector representation of the token sequence is formed based on the obtained set of vectors; by comparing the indicators of the obtained vector representation of the token sequence with the predefined vector indicators obtained as a result of training of the neural network, named entities are predicted for the vector representation of the token sequence; the named entities obtained at the previous stage are identified by selecting the word mark.
EFFECT: increase in the accuracy of prediction of named entities.
8 cl, 2 dwg
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