An enhanced hybrid approach for building of Question Answering Prototype

Abstract

The technical advancement and massive shift in technology with the introduction of Artificial Intelligence (AI) and Computational Linguistics has appeared Question Answering as one of the prime extents for the computer scientists. Question answering is more focused on Answer Driven Search where, instead of big pack of words, the exact answer is provided to the user’s query in minimal amount of time. Changing era has evolved numerous approaches enhanced QA system implementation by exploiting natural language processing (NLP) and computational theory. [1] Three mandatory modules in the architecture of QAS includes question processing module, information retrieval (IR) module and answer processing module. In this paper, we purpose an enhanced hybrid approach for the building of QA prototype for factoid type questions by adopting best mathematical methods for QA implementation.