Convolutional Spatial Attention Model for Reading Comprehension with
Multiple-Choice Questions

Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions

21 November 2018

Papers citing "Convolutional Spatial Attention Model for Reading Comprehension with Multiple-Choice Questions"

10 / 10 papers shown

Title
ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions S. Parikh Ananya B. Sai Preksha Nema Mitesh M. Khapra 47 28 0 04 Apr 2019
Yuanfudao at SemEval-2018 Task 11: Three-way Attention and Relational Knowledge for Commonsense Machine Comprehension Liang Wang Meng Sun Wei Zhao Kewei Shen Jingming Liu FedML 50 77 0 01 Mar 2018
FusionNet: Fusing via Fully-Aware Attention with Application to Machine Comprehension Hsin-Yuan Huang Chenguang Zhu Yelong Shen Weizhu Chen FedML 65 183 0 16 Nov 2017
Reinforced Mnemonic Reader for Machine Reading Comprehension Minghao Hu Yuxing Peng Zhen Huang Xipeng Qiu Furu Wei Ming Zhou RALM AIMat 49 69 0 08 May 2017
Dynamic Coattention Networks For Question Answering Caiming Xiong Victor Zhong R. Socher AIMat 79 684 0 05 Nov 2016
Bidirectional Attention Flow for Machine Comprehension Minjoon Seo Aniruddha Kembhavi Ali Farhadi Hannaneh Hajishirzi 131 2,090 0 05 Nov 2016
Attention-over-Attention Neural Networks for Reading Comprehension Yiming Cui Zhongfu Chen Si Wei Shijin Wang Ting Liu Guoping Hu AIMat 66 439 0 15 Jul 2016
SQuAD: 100,000+ Questions for Machine Comprehension of Text Pranav Rajpurkar Jian Zhang Konstantin Lopyrev Percy Liang RALM 261 8,124 0 16 Jun 2016
The Goldilocks Principle: Reading Children's Books with Explicit Memory Representations Felix Hill Antoine Bordes S. Chopra Jason Weston RALM 102 636 0 07 Nov 2015
Teaching Machines to Read and Comprehend Karl Moritz Hermann Tomás Kociský Edward Grefenstette L. Espeholt W. Kay Mustafa Suleyman Phil Blunsom 339 3,547 0 10 Jun 2015