Research and Design of Intelligent Question Answering System

The paper proposes a model of intelligent Q/A system which supports natural language question asking according to the problems from the existing intelligent Q/A systems at home and abroad. When user asks question, the system makes use of relevant technology to comprehend the natural language text automatically that user inputs, and makes information matching in database, and then returns the answers associated with problems and gives a feedback. At the same time an improvement text classification algorithm is applied to the Q/A system to classify the database question accurately, make the question quickly position and make the system more effective consequently.