The present invention relates to a declarative sentence reliability evaluation system for evaluating the reliability of a declarative sentence through a deep neural network using commonsense knowledge and extracted linguistical patterns, and a method thereof. The system includes: a receiving part receiving a declarative text requiring a reliability evaluation; a commonsense processing part extracting commonsense knowledge information using a relation between content words included in the declarative text based on a knowledgebase, and creating a commonsense-based reliability quality expression vector through the declarative text and the commonsense knowledge information; a linguistic pattern processing part creating a linguistic pattern-based reliability quality expression vector by selecting linguistic patterns and words related with each of the patterns from the declarative text; and a reliability evaluation part evaluating reliability by performing reliability classification through a deep neural network in which the commonsense-based reliability quality expression vector and the linguistic pattern-based reliability quality expression vector are combined. Therefore, the present invention is capable of performing reliability evaluation with higher accuracy.
STATEMENTS CREDIBILITY ASSESSING SYSTEM USING COMMONSENSE KNOWLEDGE AND LINGUISTIC PATTERNS AND THE METHOD THEREOF