Patent ID: 11960839
Assignee: RESONAC CORPORATION
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A cause-effect sentence analysis device comprising:
at least one processor configured to:
obtain a text from a database and extract a plurality of cause-effect sentences from the text, wherein each cause-effect sentence includes a cause expression and an effect expression;
calculate a plurality of importance degrees corresponding to the plurality of cause-effect sentences, wherein the plurality of importance degrees indicate an importance of the plurality of cause-effect sentences with respect to the text;
select, from among the plurality of cause-effect sentences, a plurality of target cause-effect sentences, wherein an importance degree corresponding to each target cause-effect sentence from among the plurality of target cause-effect sentences is above an importance threshold;
acquire information indicating a reference expression serving as a reference for analyzing a degree of similarity;
calculate, for the each target cause-effect sentence, a cause similarity degree that is the degree of similarity between the cause expression included in the target cause-effect sentence and the reference expression and an effect similarity degree that is the degree of similarity between the effect expression included in the target cause-effect sentence and the reference expression, wherein at least one of the cause similarity degree and the effect similarity degree is calculated using a similarity degree model based on a vector representation; and
select, from among the plurality of target cause-effect sentences, a target cause-effect sentence in which one of the cause similarity degree and the effect similarity degree is above a similarity threshold, and the other of the cause similarity degree and the effect similarity degree is below the similarity threshold,
wherein the importance degree comprises a cause importance degree corresponding to the cause expression and an effect importance degree corresponding to the effect expression, and
wherein the importance degree is determined to be above the importance threshold based on at least one of the cause importance degree being above a cause importance threshold, and the effect importance degree being above an effect importance threshold.