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ParaQG: A System for Generating Questions and Answers from Paragraphs

ParaQG: A System for Generating Questions and Answers from Paragraphs

4 September 2019
Vishwajeet Kumar
Sivaanandh Muneeswaran
Ganesh Ramakrishnan
Yuan-Fang Li
ArXivPDFHTML

Papers citing "ParaQG: A System for Generating Questions and Answers from Paragraphs"

14 / 14 papers shown
Title
Cross-Lingual Training for Automatic Question Generation
Cross-Lingual Training for Automatic Question Generation
Vishwajeet Kumar
Nitish Joshi
A. Mukherjee
Ganesh Ramakrishnan
Preethi Jyothi
LRM
67
53
0
06 Jun 2019
BERT: Pre-training of Deep Bidirectional Transformers for Language
  Understanding
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Jacob Devlin
Ming-Wei Chang
Kenton Lee
Kristina Toutanova
VLM
SSL
SSeg
1.6K
94,511
0
11 Oct 2018
Know What You Don't Know: Unanswerable Questions for SQuAD
Know What You Don't Know: Unanswerable Questions for SQuAD
Pranav Rajpurkar
Robin Jia
Percy Liang
RALM
ELM
257
2,837
0
11 Jun 2018
Automating Reading Comprehension by Generating Question and Answer Pairs
Automating Reading Comprehension by Generating Question and Answer Pairs
Vishwajeet Kumar
Kireeti Boorla
Y. Meena
Ganesh Ramakrishnan
Yuan-Fang Li
45
47
0
07 Mar 2018
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
644
130,942
0
12 Jun 2017
Learning to Ask: Neural Question Generation for Reading Comprehension
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du
Junru Shao
Claire Cardie
3DV
143
663
0
29 Apr 2017
SQuAD: 100,000+ Questions for Machine Comprehension of Text
SQuAD: 100,000+ Questions for Machine Comprehension of Text
Pranav Rajpurkar
Jian Zhang
Konstantin Lopyrev
Percy Liang
RALM
241
8,113
0
16 Jun 2016
Generating Factoid Questions With Recurrent Neural Networks: The 30M
  Factoid Question-Answer Corpus
Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus
Iulian Serban
Alberto García-Durán
Çağlar Gülçehre
Sungjin Ahn
A. Chandar
Aaron Courville
Yoshua Bengio
LRM
66
287
0
22 Mar 2016
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
Zhengdong Lu
Hang Li
Victor O.K. Li
175
1,539
0
21 Mar 2016
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label
  Classification
From Softmax to Sparsemax: A Sparse Model of Attention and Multi-Label Classification
André F. T. Martins
Ramón Fernández Astudillo
168
719
0
05 Feb 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
364
7,955
0
17 Aug 2015
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
387
20,528
0
10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Kyunghyun Cho
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CE
AIMat
227
6,772
0
03 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
515
27,263
0
01 Sep 2014
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