Mobile System Using Natural Language Annotations for Question Answering
Citations Over Time
Abstract
The research in the domain of question answering systems is vast. Many Web based question answering systems provide users with long size paragraphs in response to questions. In this research work, we present a question answering system intended for mobile users using natural language annotations fulfilling their requirement of concise piece of information in response to queries. We describe a model of a system that accepts user queries in natural language after interpreting those queries match them with information stored in t-expression format and resulting entry is displayed to users thus helping them in getting the desired information without searching through the huge amount of information available on the Web. The system returns only the exact piece of information in natural language for presentation to the users thus saving them from further web hits and searching through documents for their required information.