Inicio  /  Applied Sciences  /  Vol: 11 Par: 7 (2021)  /  Artículo
ARTÍCULO
TITULO

Evaluation of the Coherence of Polish Texts Using Neural Network Models

Sergii Telenyk    
Sergiy Pogorilyy and Artem Kramov    

Resumen

The designed models of the coherence evaluation of Polish texts may be utilized during the discrimination of human-written and machine-generated texts in order to detect fake documents. Moreover, these models can be applied in a medicine area in order to reveal incoherent speech of a person that can indicate some symptoms of mental illness. There is no severe dependency on the language in considered models, thus, they can be trained and utilized for the solving of typical coherence evaluation tasks for other languages.

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