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ElimiNet: A Model for Eliminating Options for Reading Comprehension with
  Multiple Choice Questions

ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions

4 April 2019
S. Parikh
Ananya B. Sai
Preksha Nema
Mitesh M. Khapra
ArXivPDFHTML

Papers citing "ElimiNet: A Model for Eliminating Options for Reading Comprehension with Multiple Choice Questions"

5 / 5 papers shown
Title
Option-ID Based Elimination For Multiple Choice Questions
Option-ID Based Elimination For Multiple Choice Questions
Zhenhao Zhu
Bulou Liu
Qingyao Ai
Yu Liu
54
0
0
25 Jan 2025
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
174
86
0
06 Dec 2021
Improving Machine Reading Comprehension with General Reading Strategies
Improving Machine Reading Comprehension with General Reading Strategies
Kai Sun
Dian Yu
Dong Yu
Claire Cardie
AI4CE
24
116
0
31 Oct 2018
Multi-range Reasoning for Machine Comprehension
Multi-range Reasoning for Machine Comprehension
Yi Tay
Anh Tuan Luu
S. Hui
18
34
0
24 Mar 2018
Dynamic Fusion Networks for Machine Reading Comprehension
Dynamic Fusion Networks for Machine Reading Comprehension
Yichong Xu
Jingjing Liu
Jianfeng Gao
Yelong Shen
Xiaodong Liu
AIMat
AI4CE
47
29
0
14 Nov 2017
1