Han-Cheng Yu

Distractor Generation based on Text2Text Language Models with Pseudo Kullback-Leibler Divergence Regulation

In this paper, we address the task of cloze-style multiple choice question (MCQs) distractor generation. Our study is featured by the following designs. First, we propose to formulate the cloze distractor generation as a Text2Text task. Second, we propose pseudo Kullback-Leibler Divergence for regul…