Patent Document ID: 7725408
Application ID: 11633190

Base Claim:
1. A method for constructing learning data, comprising the steps of: (a) generating learning models by performing machine learning with respect to learning data; (b) attaching tags to a raw corpus automatically using the generated learning models to thereby generate learning data candidates; (c) calculating confidence scores of the generated learning data candidates, and selecting a learning data candidate by using the calculated confidence scores; and (d) allowing a user to correct an error in the selected learning data candidate through an interface and adding the error-corrected learning data candidate to the learning data, thereby adding new learning models incrementally.

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Claim 4:
4. The method of claim 1 , wherein step (c) comprises the steps of: calculating the confidence scores of the learning data candidates automatically generated by using the plurality of inferred answers generated from the plurality of learning models; and selecting a specific learning data candidate by using the calculated confidence scores of the learning data candidates.