Abstract: An approach is provided in which an information handling system detects an unknown word in a sentence and generates a context embedding using known words in proximity to the unknown word in the sentence. Next, the information handling system creates a predictive embedding of to the unknown word based upon the context embedding. The predictive embedding corresponds to an embedding area of the unknown word without specifying the unknown word. In turn, the information handling system utilizes the predictive embedding to generate natural language processing results corresponding to the sentence.

Abstract: The present invention contemplates an educational system of improved data collection and management and for providing automated, individually customized, real-time recommendations, comprising: creating a student profile; inputting data relating to a student; inputting data relating to students biographical information; entering data relating to the subjects taken by a student; entering learning objectives for each subject; entering data relating to learning objectives for a subject; entering the importance of each learning objective; entering the correlation between objectives in different courses; entering data relating the students performance in learning objectives; creating a solution profile; inputting data relating to solutions into a solution profile; entering data relating to the learning objectives met by a solution; entering data relating to how effective the solution is at meeting a given learning objective; assigning a score to each learning objective based on the student data and solution effecti