A Co-Matching Model for Multi-choice Reading Comprehension

A Co-Matching Model for Multi-choice Reading Comprehension

11 June 2018

Papers citing "A Co-Matching Model for Multi-choice Reading Comprehension"

15 / 15 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
Evidence Aggregation for Answer Re-Ranking in Open-Domain Question Answering Shuohang Wang Mo Yu Jing Jiang Wei Zhang Xiaoxiao Guo Shiyu Chang Zhiguo Wang Tim Klinger Gerald Tesauro Murray Campbell RALM 69 162 0 14 Nov 2017
Dynamic Fusion Networks for Machine Reading Comprehension Yichong Xu Jingjing Liu Jianfeng Gao Yelong Shen Xiaodong Liu AIMat AI4CE 61 29 0 14 Nov 2017
RACE: Large-scale ReAding Comprehension Dataset From Examinations Guokun Lai Qizhe Xie Hanxiao Liu Yiming Yang Eduard H. Hovy ELM 170 1,346 0 15 Apr 2017
MS MARCO: A Human Generated MAchine Reading COmprehension Dataset Payal Bajaj Daniel Fernando Campos Nick Craswell Li Deng Jianfeng Gao ... Mir Rosenberg Xia Song Alina Stoica Saurabh Tiwary Tong Wang RALM 137 2,723 0 28 Nov 2016
A Compare-Aggregate Model for Matching Text Sequences Shuohang Wang Jing Jiang 58 276 0 06 Nov 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
A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task Danqi Chen Jason Bolton Christopher D. Manning ELM 78 571 0 09 Jun 2016
Gated-Attention Readers for Text Comprehension Bhuwan Dhingra Hanxiao Liu Zhilin Yang William W. Cohen Ruslan Salakhutdinov 68 417 0 05 Jun 2016
A Parallel-Hierarchical Model for Machine Comprehension on Sparse Data Adam Trischler Zheng Ye Xingdi Yuan Jing He Philip Bachman Kaheer Suleman 32 48 0 29 Mar 2016
Attention-Based Convolutional Neural Network for Machine Comprehension Wenpeng Yin Sebastian Ebert Hinrich Schütze 47 100 0 13 Feb 2016
Learning Natural Language Inference with LSTM Shuohang Wang Jing Jiang 96 446 0 30 Dec 2015
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
Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks Kai Sheng Tai R. Socher Christopher D. Manning AIMat 135 3,118 0 28 Feb 2015