Survey on trends and methods of an intelligent answering system

In Contemporary world, life styles and interactions have changed in all applications domain due to increasing advances of internet technology. Due to recent advances in information explosion, tries to build an intelligent question answering system where user may communicate with a machine in natural language to get response to user question using different strategies like Natural Language Processing (NLP), Artificial Intelligence, Information Retrieval and Human Computer Interaction. Natural Language Processing is a technique where computer behave like human, which helps people to talk to the computer in their own language rather than computer commands. The skills needed to build intelligent answering system includes tokenization, parsing, parts of speech tagging, question classification, query construction, sentence understanding, document retrieval, keyword ranking, classifier, answer extraction and validation. The current study intends to develop an intelligent system for user queries in natural language for precise answer.