Several difficulty-controllable QG methods have been proposed for doing so. However, conventional methods focus only on generating questions and cannot generate ...
Jul 13, 2023 · Several difficulty-controllable QG methods have been proposed for doing so. However, conventional methods focus only on generating questions and ...
The proposed difficulty controllable generation is realized by extending two pre-trained transformer models, namely, BERT and GPT-2. Experimental results show ...
Difficulty-Controllable Neural Question Generation for Reading Comprehension using Item Response Theory · QDG: A unified model for automatic question-distractor ...
Feb 1, 2024 · Difficulty-Controllable Neural Question Generation for Reading Comprehension Based on Item Response Theory
attention and copy mechanisms to enhance the performance. Global Difficulty Control. We regard the generation of. difficulty-controllable questions as a problem ...
Jul 10, 2018 · Difficulty Controllable Generation of Reading Comprehension Questions. Authors:Yifan Gao, Lidong Bing, Wang Chen, Michael R. Lyu, Irwin King.
Missing: Neural Item Response Theory.
... Difficulty-controllable neural question generation for reading comprehension using item response theory. In: Proceedings of the 18th Workshop on Innovative ...
In this paper, we explore another important dimension in QG,. i.e., generating questions with controllable difficulty, that has never been studied before. 7 ...
Missing: Theory. | Show results with:Theory.
Difficulty Controllable Question Generation for Reading Comprehension · Figures and Tables · Topics · 21 Citations · 33 References · Related Papers ...
Missing: Item Response Theory.