Algorithm for Automatic Evaluation of Single Sentence Descriptive Answer
Amarjeet Kaur1, M Sasikumar2, Shikha Nema3, Sanjay Pawar4
1Amarjeet kaur is currently pursuing PhD degree in computer science & technology, SNDT Women’s University, Mumbai, India.
2Dr.M Sasikumar is currently working as a Director, CDAC Kharghar, Navi Mumbai, India.
3Dr.Shikha Nema is currently working as a Professor, EXTC dept., UMIT, SNDT Women’s University, Mumbai, India.
4Dr.Sanjay Pawar is currently working as a Principal, UMIT, SNDT Women’s University, Mumbai, India.
Manuscript received on August 01, 2013. | Revised Manuscript Received on August 17, 2013. | Manuscript published on August 20, 2013. | PP: 6-9 | Volume-1, Issue-9, August 2013. | Retrieval Number: I0276081913/2013©BEIESP
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© The Authors. Published By: Blue Eyes Intelligence Engineering & Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Automation of descriptive answer evaluation process would be helpful for various universities and academic institution to efficiently handle the assessment of exam answer sheets of learners/students. Our objective is to design an algorithm for the automatic evaluation of single sentence descriptive answer. The paper presents an approach to check the degree of learning of the student/learner, by evaluating their descriptive exam answer sheets. By representing the descriptive answer in the form of graph and comparing it with standard answer are the key steps in our approach.
Keywords: Descriptive answer, graphical representation, similarity measures, subjective evaluation, word Net.