WITHDRAWN: Distractor filtering by context aware models in MCQs

Abstract

Abstract Assessment of knowledge in the usage of affix based words is very much essential in the context of learning any language. Designing such questions focusing on the morphological aspects in the automated way is a challenging one. Especially, generating the distractors w.r.t. MCQs automatically concerned with affix words in Tamil Language is focused in this paper. In this study, we mainly focused on distractor filtering through context aware language models by two approaches. First one, list is filtered through masked word prediction from pre-trained BERT model. Next, filtering is formulated as sentence classification which implicitly checks the sentence completion in terms of morphemes. Classification model is fine-tuned from pre-trained multilingual model. Experimental results show that masked language model outperforms the classification model due to low dataset used in fine-tuning process. Compared to trigram filtering approach context aware language model optimizes reliability in affix based distractor generation.