Eureqa: Overcoming the Digital Divide through a Multidocument Qa System for E-learning

In this paper, we present a Natural Language Processing (NLP) based Multi-document Question Answering system (EUREQA) which intelligently constructs the answers from single and multiple documents. Answers to the questions may not be present in a single document but may require multiple documents. To be used in any real scenario, QA systems must go beyond local search in a document and deal with possibility of finding answer from different locations from one or multiple documents. As a tool for E-learning, our system provides quick and effective reach to the students over the vast information present on web. By this way, information-network service system will be expansively reached throughout the country empowering the general masses, especially the rural people. The comparison of EUREQA with other search engines like Google shows the need of a QA system over and above a search engine such as Google in e-learning.