Abstract:
The Growth of Technology has influenced on E-Learning through Natural
Language Processing. It has completely changed the traditional way of learning
with the rapid growth in the development of information retrieval, which makes an
expressive and efficient way of quick and effective reach to the students over vast
information through Natural Language Processing. This Research represents to a
Question Answering Teaching Tool which is limited for a particular area, Number
of relevant answers for the question is stored in the database by experts. Students
have a facility to type the question in a given space and the system automatically
generates the templates, and all the user-questions are taken as Natural language
queries as input. Here each and every template representing a question are pre
stored in a database with its answer, just when the best matched template for the
question is found, the corresponding answer will be returned to the end user. The
Template matching Technique has been used to match the most suitable answer.
Major development starts with Frequently Asked Question with in-built as
automated question answering process. This Research analyze as How to
understand a natural language question and How to represent the semantic content
of an instructional text question as well as How to measure the relevance between
a question and the Answer for it in content –based retrieval. The main contribution
is to give more suitable answer and its improved versions of answers for the
question which typed and it is understood by natural language processing
techniques. This research resolves in real environment, whenever they have a
doubt in the relevant area.
