Automatic Answer Sheet Checker
Keywords:
Data-mining, Stop word Selection, Text Classification, Stemming Algorithm and Stripping Algorithm.Abstract
An automating the task of scoring subjective answer is considered. The goal is to assign score which are comparable to those of human score by coupling AI technologies . In this process involves many image level operation i.e. removal of pre-printed matter , extraction and segmentation of words. Scoring is based on machine learning of parameter and natural language processing. System checks answer and score as good as human being. We present an Answer Sheet Checker based on Textual Entailment and Question Answering. The important features used to develop the Answer Sheet Checker System are named Entity Recognition, Textual Entailment, Question-Answer type Analysis and Chunk Boundary and Dependency relations. Separate Answer Sheet Checker modules have been developed for each of these features. We first combine the question and the supporting text to check the entailment relations as either
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