A REVIEW ON QUESTION CLASSIFICATION USING MACHINE LEARNING BASED ON SEMANTIC FEATURES

One of the most important aspects of the learning process is the assessment of the knowledge acquired by the learners. In typical assessment like Exam, Assignment or Quiz, a grader provides students with feedback on their answers to questions related to the subject matter. In this way Question classification plays an important role in Question answering. Its main role is to assign a suitable semantic category to the question posted in natural language that represents the type of the required answers. It is a major challenge for the automated Question Classification function. In order to solve this kind of complexity, learners use lexical, syntactic and semantic features to analyze the questions. This paper presents a review on various approaches for Question classification using Machine learning approach based on Semantic Feature.