Automatic Generation of Question-Answer Pairs from Conversational Text

摘要

A method, system and computer-usable medium are disclosed for identifying question-answer pair associations within a dialog. Natural language processing (NLP) is used to process a target dialog to identify questions and answers within the dialog. The relative positions of the identified questions and answers in the dialog are determined and then correlated to one another to generate question-answer pair associations. Sub-questions and their associated main questions are identified within the dialog, followed by the elimination of redundant question-answer pairs. Local cues contained in the dialog are then used in scoring and filtering processes to differentiate fact-based questions and answers from those that are opinionated.