Automatic Assessment of Descriptive Answers for Online Examination using Semantic Analysis

Abstract

Question Answering is a specialized form of information retrieval. Given a collection of documents, a Question Answering system attempts to retrieve correct answers to questions posed in natural language. Open-domain question answering requires question answering systems to be able to answer questions about any conceivable topic. Such systems cannot, therefore, rely on hand crafted domain specific knowledge to find and extract the correct answers. Closed-domain question answering deals with questions under a specific domain and can be seen as an easier task because NLP systems can exploit domain-specific knowledge frequently formalized in ontologies. The proposed system provides the semantic based QA evaluation using Artificial Neural Network (ANN).The system also comes under closed domain QA where users are supposed to access online based subjective examination.