Automatic Answer Evaluation: NLP Approach
Arun Arun, Parshu Ram Dungyel, Karma Wangchuk, Kesang Wangmo, Uttar K Rai, Yeshi Jamtsho · Zorig Melong. · 2013
Automatic assessment of subjective answers requires Natural Language Processing (NLP)-based evaluation and automated assessment. Various techniques used are Ontology, Semantic Similarity Matching, and Statistical Methods. An automatic short answer assessment system based on NLP is attempted in this paper. Various experiments performed on a dataset revealed that the semantic Enhanced NLP (ENLP) method outperformed methods based on simple lexical matching, resulting in up to 85 percent performance with respect to traditional vector-based similarity metrics.