Research On Localizationg In Question-Answering System

QA system has been developing rapidly from the mid of 20th century, and has become the hotspot of research in computer science area. Localization is one of key technique in QA system. Most QA systems create index for answers'collection to reduce searching range and localize, however these methods have certain weaknesses. Aiming at QA system in remote education background, this paper proposes a new method using Fuzzy ARTMAP and SVM to solve localization. This paper's background is based on a certain subject QA system, and focuses on question feature representation and question's localization.This paper firstly introduces the development, architecture and techniques of QA system and the status of localization, secondly focuses on the pretreatment of answers'collection, questions'feature representation and feature transformation to high dimension space, thirdly, analyses the localization method of questions with SVM and Fuzzy ARTMAP; at last, designs and implements an prototype and analyses the performance to verify the feasibility of arithmetic proposed by this paper .