Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension

20 November 2019

Papers citing "Co-Attention Hierarchical Network: Generating Coherent Long Distractors for Reading Comprehension"

9 / 9 papers shown

Title
Harnessing Structured Knowledge: A Concept Map-Based Approach for High-Quality Multiple Choice Question Generation with Effective Distractors Nicy Scaria Silvester John Joseph Kennedy Diksha Seth Ananya Thakur Deepak N. Subramani AI4Ed 23 0 0 02 May 2025
DGRC: An Effective Fine-tuning Framework for Distractor Generation in Chinese Multi-choice Reading Comprehension Runfeng Lin Dacheng Xu Huijiang Wang Zebiao Chen Yating Wang Shouqiang Liu 36 0 0 29 May 2024
AGent: A Novel Pipeline for Automatically Creating Unanswerable Questions Son Quoc Tran Gia-Huy Do Phong Nguyen-Thuan Do Matt Kretchmar Xinya Du 21 0 0 10 Sep 2023
EMBRACE: Evaluation and Modifications for Boosting RACE M. Zyrianova Dmytro Kalpakchi Johan Boye 24 1 0 15 May 2023
DISTO: Evaluating Textual Distractors for Multi-Choice Questions using Negative Sampling based Approach Bilal Ghanem Alona Fyshe 26 4 0 10 Apr 2023
BERT-based distractor generation for Swedish reading comprehension questions using a small-scale dataset Dmytro Kalpakchi Johan Boye 30 20 0 09 Aug 2021
A BERT-based Distractor Generation Scheme with Multi-tasking and Negative Answer Training Strategies Ho-Lam Chung Ying-Hong Chan Yao-Chung Fan 33 41 0 12 Oct 2020
A Survey on Machine Reading Comprehension Systems Razieh Baradaran Razieh Ghiasi Hossein Amirkhani FaML 13 85 0 06 Jan 2020
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015