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1506.03340
Cited By
Teaching Machines to Read and Comprehend
10 June 2015
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
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Papers citing
"Teaching Machines to Read and Comprehend"
50 / 580 papers shown
Title
Query Focused Multi-Document Summarization with Distant Supervision
Yumo Xu
Mirella Lapata
RALM
29
12
0
06 Apr 2020
A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining
Chenguang Zhu
Ruochen Xu
Michael Zeng
Xuedong Huang
BDL
AI4TS
20
18
0
04 Apr 2020
Abstractive Text Summarization based on Language Model Conditioning and Locality Modeling
Dmitrii Aksenov
J. Moreno-Schneider
Peter Bourgonje
Robert Schwarzenberg
Leonhard Hennig
Georg Rehm
27
25
0
29 Mar 2020
A Survey of Deep Learning for Scientific Discovery
M. Raghu
Erica Schmidt
OOD
AI4CE
38
120
0
26 Mar 2020
Enhancing Factual Consistency of Abstractive Summarization
Chenguang Zhu
William Fu-Hinthorn
Ruochen Xu
Qingkai Zeng
Michael Zeng
Xuedong Huang
Meng Jiang
HILM
KELM
193
40
0
19 Mar 2020
Natural Language Processing Advancements By Deep Learning: A Survey
A. Torfi
Rouzbeh A. Shirvani
Yaser Keneshloo
Nader Tavvaf
Edward A. Fox
AI4CE
VLM
83
215
0
02 Mar 2020
A more abstractive summarization model
Satyaki Chakraborty
Xinya Li
Sayak Chakraborty
6
3
0
25 Feb 2020
Fill in the BLANC: Human-free quality estimation of document summaries
Oleg V. Vasilyev
Vedant Dharnidharka
John Bohannon
3DH
42
116
0
23 Feb 2020
A
3
^3
3
: Accelerating Attention Mechanisms in Neural Networks with Approximation
Tae Jun Ham
Sungjun Jung
Seonghak Kim
Young H. Oh
Yeonhong Park
...
Jung-Hun Park
Sanghee Lee
Kyoung Park
Jae W. Lee
D. Jeong
24
211
0
22 Feb 2020
Attractive or Faithful? Popularity-Reinforced Learning for Inspired Headline Generation
Yun-Zhu Song
Hong-Han Shuai
Sung-Lin Yeh
Yi-Lun Wu
Lun-Wei Ku
Wen-Chih Peng
29
21
0
06 Feb 2020
Beat the AI: Investigating Adversarial Human Annotation for Reading Comprehension
Max Bartolo
A. Roberts
Johannes Welbl
Sebastian Riedel
Pontus Stenetorp
AAML
28
167
0
02 Feb 2020
Teaching Machines to Converse
Jiwei Li
29
4
0
31 Jan 2020
Retrospective Reader for Machine Reading Comprehension
Zhuosheng Zhang
Junjie Yang
Hai Zhao
RALM
25
226
0
27 Jan 2020
TED: A Pretrained Unsupervised Summarization Model with Theme Modeling and Denoising
Ziyi Yang
Chenguang Zhu
R. Gmyr
Michael Zeng
Xuedong Huang
Eric Darve
20
61
0
03 Jan 2020
SberQuAD -- Russian Reading Comprehension Dataset: Description and Analysis
Pavel Efimov
Andrey Chertok
Leonid Boytsov
Pavel Braslavski
60
59
0
20 Dec 2019
Pretrained Encyclopedia: Weakly Supervised Knowledge-Pretrained Language Model
Wenhan Xiong
Jingfei Du
William Yang Wang
Veselin Stoyanov
SSL
KELM
50
201
0
20 Dec 2019
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
45
2,018
0
18 Dec 2019
Differentiable Reasoning on Large Knowledge Bases and Natural Language
Pasquale Minervini
Matko Bovsnjak
Tim Rocktaschel
Sebastian Riedel
Edward Grefenstette
LRM
18
88
0
17 Dec 2019
Neural Machine Translation: A Review and Survey
Felix Stahlberg
3DV
AI4TS
MedIm
20
311
0
04 Dec 2019
Reading the Manual: Event Extraction as Definition Comprehension
Yunmo Chen
Tongfei Chen
Seth Ebner
Aaron Steven White
Benjamin Van Durme
27
63
0
03 Dec 2019
SAMSum Corpus: A Human-annotated Dialogue Dataset for Abstractive Summarization
Bogdan Gliwa
Iwona Mochol
M. Biesek
A. Wawer
57
612
0
27 Nov 2019
Separate and Attend in Personal Email Search
Yu Meng
Maryam Karimzadehgan
Honglei Zhuang
Donald Metzler
FedML
142
2
0
21 Nov 2019
Improving Machine Reading Comprehension via Adversarial Training
Ziqing Yang
Yiming Cui
Wanxiang Che
Ting Liu
Shijin Wang
Guoping Hu
27
17
0
09 Nov 2019
What Question Answering can Learn from Trivia Nerds
Jordan L. Boyd-Graber
Benjamin Borschinger
24
36
0
31 Oct 2019
Discourse-Aware Neural Extractive Text Summarization
Jiacheng Xu
Zhe Gan
Yu Cheng
Jingjing Liu
BDL
43
278
0
30 Oct 2019
Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering
Kaixin Ma
Jonathan M Francis
Quanyang Lu
Eric Nyberg
A. Oltramari
NAI
21
89
0
30 Oct 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and Comprehension
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMat
VLM
41
10,609
0
29 Oct 2019
Input-Cell Attention Reduces Vanishing Saliency of Recurrent Neural Networks
Aya Abdelsalam Ismail
Mohamed K. Gunady
L. Pessoa
H. C. Bravo
S. Feizi
AI4TS
25
50
0
27 Oct 2019
On the Cross-lingual Transferability of Monolingual Representations
Mikel Artetxe
Sebastian Ruder
Dani Yogatama
28
774
0
25 Oct 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer
Colin Raffel
Noam M. Shazeer
Adam Roberts
Katherine Lee
Sharan Narang
Michael Matena
Yanqi Zhou
Wei Li
Peter J. Liu
AIMat
97
19,493
0
23 Oct 2019
Root Mean Square Layer Normalization
Biao Zhang
Rico Sennrich
11
659
0
16 Oct 2019
BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels
Yimin Jing
Deyi Xiong
Yan Zhen
16
31
0
11 Oct 2019
Learning from Fact-checkers: Analysis and Generation of Fact-checking Language
Nguyen Vo
Kyumin Lee
9
68
0
05 Oct 2019
Topic-aware Pointer-Generator Networks for Summarizing Spoken Conversations
Zhengyuan Liu
A. Ng
Yutong Li
AiTi Aw
Cewu Lu
24
101
0
03 Oct 2019
Learning the Difference that Makes a Difference with Counterfactually-Augmented Data
Divyansh Kaushik
Eduard H. Hovy
Zachary Chase Lipton
CML
19
560
0
26 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Angela Fan
Edouard Grave
Armand Joulin
43
584
0
25 Sep 2019
Summary Level Training of Sentence Rewriting for Abstractive Summarization
Sanghwan Bae
Taeuk Kim
Jihoon Kim
Sang-goo Lee
30
68
0
19 Sep 2019
Zero-shot Reading Comprehension by Cross-lingual Transfer Learning with Multi-lingual Language Representation Model
Tsung-Yuan Hsu
Chi-Liang Liu
Hung-yi Lee
26
60
0
15 Sep 2019
CTRL: A Conditional Transformer Language Model for Controllable Generation
N. Keskar
Bryan McCann
L. Varshney
Caiming Xiong
R. Socher
AI4CE
57
1,236
0
11 Sep 2019
Span Selection Pre-training for Question Answering
Michael R. Glass
A. Gliozzo
Rishav Chakravarti
Anthony Ferritto
Lin Pan
G P Shrivatsa Bhargav
Dinesh Garg
Avirup Sil
RALM
38
70
0
09 Sep 2019
Pretrained Language Models for Sequential Sentence Classification
Arman Cohan
Iz Beltagy
Daniel King
Bhavana Dalvi
Daniel S. Weld
24
128
0
09 Sep 2019
Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses
Matt Grenander
Yue Dong
Jackie C.K. Cheung
Annie Louis
14
35
0
08 Sep 2019
A Better Way to Attend: Attention with Trees for Video Question Answering
Hongyang Xue
Wenqing Chu
Zhou Zhao
Deng Cai
25
33
0
05 Sep 2019
Answers Unite! Unsupervised Metrics for Reinforced Summarization Models
Thomas Scialom
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
22
149
0
04 Sep 2019
Cosmos QA: Machine Reading Comprehension with Contextual Commonsense Reasoning
Lifu Huang
Ronan Le Bras
Chandra Bhagavatula
Yejin Choi
AIMat
RALM
LRM
27
447
0
31 Aug 2019
Deep Reinforcement Learning with Distributional Semantic Rewards for Abstractive Summarization
Siyao Li
Deren Lei
Pengda Qin
William Yang Wang
6
43
0
31 Aug 2019
Exploring Domain Shift in Extractive Text Summarization
Danqing Wang
Pengfei Liu
Ming Zhong
Jie Fu
Xipeng Qiu
Xuanjing Huang
19
36
0
30 Aug 2019
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
13
361
0
23 Aug 2019
Text Summarization with Pretrained Encoders
Yang Liu
Mirella Lapata
MILM
258
1,433
0
22 Aug 2019
Encoder-Agnostic Adaptation for Conditional Language Generation
Zachary M. Ziegler
Luke Melas-Kyriazi
Sebastian Gehrmann
Alexander M. Rush
AI4CE
11
57
0
19 Aug 2019
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