SUBJECTIVE QUESTIONS ANSWERING SYSTEM CONCEPTS, APPROACHES AND TRACKS: A SURVEY
Question answering System (QAS) represents a specialized information retrieval (IR) mechanism. The QAS is concerned with relevant answers that are given to the proposed questions in natural language. It is increasingly needed in education, and especially it is used as a tool for automated subjective exam assessment. Most QAS is composed of three main components: classification of questions, retrieval of information, and retrieval of an answer. The classification of questions plays an essential role in QASs by categorizing the submitted question according to its type. Retrieval of information is used for answering a question because if a document does not have the correct answers, no further processing can be done to find the answer. Finally, the retrieval of an answer is performed to retrieve the answer to the question the user is asking. This research paper includes an overview of the automat assessment systems for subjective questions in English and other languages, as well as previous related tasks that compare each research against another. In conclusion, the survey provides an analytical discussion of the proposed models in subjective exam assessment and their key contributions, test results, and limitations
natural language processing, Automatic Subjective assessment system, online examination, Question Analysis.