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Teaching Machines to Read and Comprehend

Teaching Machines to Read and Comprehend

10 June 2015
Karl Moritz Hermann
Tomás Kociský
Edward Grefenstette
L. Espeholt
W. Kay
Mustafa Suleyman
Phil Blunsom
ArXivPDFHTML

Papers citing "Teaching Machines to Read and Comprehend"

50 / 580 papers shown
Title
What Makes a Good and Useful Summary? Incorporating Users in Automatic
  Summarization Research
What Makes a Good and Useful Summary? Incorporating Users in Automatic Summarization Research
Maartje ter Hoeve
Julia Kiseleva
Maarten de Rijke
33
7
0
14 Dec 2020
CTRLsum: Towards Generic Controllable Text Summarization
CTRLsum: Towards Generic Controllable Text Summarization
Junxian He
Wojciech Kry'sciñski
Bryan McCann
Nazneen Rajani
Caiming Xiong
216
138
0
08 Dec 2020
Bengali Abstractive News Summarization(BANS): A Neural Attention
  Approach
Bengali Abstractive News Summarization(BANS): A Neural Attention Approach
Prithwiraj Bhattacharjee
Avi Mallick
Md. Saiful Islam
Marium-E. Jannat
17
11
0
03 Dec 2020
GLGE: A New General Language Generation Evaluation Benchmark
GLGE: A New General Language Generation Evaluation Benchmark
Dayiheng Liu
Yu Yan
Yeyun Gong
Weizhen Qi
Hang Zhang
...
Jiancheng Lv
Ruofei Zhang
Winnie Wu
Ming Zhou
Nan Duan
ELM
40
66
0
24 Nov 2020
CapWAP: Captioning with a Purpose
CapWAP: Captioning with a Purpose
Adam Fisch
Kenton Lee
Ming-Wei Chang
J. Clark
Regina Barzilay
8
11
0
09 Nov 2020
Improving Event Duration Prediction via Time-aware Pre-training
Improving Event Duration Prediction via Time-aware Pre-training
Zonglin Yang
Xinya Du
Alexander M. Rush
Claire Cardie
VLM
14
19
0
05 Nov 2020
Supervised Contrastive Learning for Pre-trained Language Model
  Fine-tuning
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel
Jingfei Du
Alexis Conneau
Ves Stoyanov
18
497
0
03 Nov 2020
Biased TextRank: Unsupervised Graph-Based Content Extraction
Biased TextRank: Unsupervised Graph-Based Content Extraction
Ashkan Kazemi
Verónica Pérez-Rosas
Rada Mihalcea
23
30
0
02 Nov 2020
Multi-XScience: A Large-scale Dataset for Extreme Multi-document
  Summarization of Scientific Articles
Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles
Yao Lu
Yue Dong
Laurent Charlin
AILaw
20
113
0
27 Oct 2020
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from
  Real-world Applications
QBSUM: a Large-Scale Query-Based Document Summarization Dataset from Real-world Applications
Mingjun Zhao
Shengli Yan
Bang Liu
Xinwang Zhong
Qian Hao
Haolan Chen
Di Niu
Bowei Long
Wei-dong Guo
RALM
13
20
0
27 Oct 2020
AQuaMuSe: Automatically Generating Datasets for Query-Based
  Multi-Document Summarization
AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization
Sayali Kulkarni
Sheide Chammas
Wan Zhu
Fei Sha
Eugene Ie
RALM
64
52
0
23 Oct 2020
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question
  Answering
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
Arij Riabi
Thomas Scialom
Rachel Keraron
Benoît Sagot
Djamé Seddah
Jacopo Staiano
142
52
0
23 Oct 2020
Explainable Automated Fact-Checking for Public Health Claims
Explainable Automated Fact-Checking for Public Health Claims
Neema Kotonya
Francesca Toni
218
249
0
19 Oct 2020
ReviewRobot: Explainable Paper Review Generation based on Knowledge
  Synthesis
ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis
Qingyun Wang
Qi Zeng
Lifu Huang
Kevin Knight
Heng Ji
Nazneen Rajani
25
54
0
13 Oct 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural
  Summarization Systems
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems
Yiran Chen
Pengfei Liu
Ming Zhong
Zi-Yi Dou
Danqing Wang
Xipeng Qiu
Xuanjing Huang
ELM
27
24
0
11 Oct 2020
What Have We Achieved on Text Summarization?
What Have We Achieved on Text Summarization?
Dandan Huang
Leyang Cui
Sen Yang
Guangsheng Bao
Kun Wang
Jun Xie
Yue Zhang
34
109
0
09 Oct 2020
Multi-Fact Correction in Abstractive Text Summarization
Multi-Fact Correction in Abstractive Text Summarization
Yue Dong
Shuohang Wang
Zhe Gan
Yu Cheng
Jackie C.K. Cheung
Jingjing Liu
KELM
HILM
15
118
0
06 Oct 2020
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting
  Arithmetic Coding
Near-imperceptible Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding
Jiaming Shen
Heng Ji
Jiawei Han
13
33
0
01 Oct 2020
Bridging Information-Seeking Human Gaze and Machine Reading
  Comprehension
Bridging Information-Seeking Human Gaze and Machine Reading Comprehension
J. Malmaud
R. Levy
Yevgeni Berzak
30
31
0
30 Sep 2020
No Answer is Better Than Wrong Answer: A Reflection Model for Document
  Level Machine Reading Comprehension
No Answer is Better Than Wrong Answer: A Reflection Model for Document Level Machine Reading Comprehension
Xuguang Wang
Linjun Shou
Ming Gong
Nan Duan
Daxin Jiang
24
12
0
25 Sep 2020
Global-aware Beam Search for Neural Abstractive Summarization
Global-aware Beam Search for Neural Abstractive Summarization
Ye Ma
Zixun Lan
Lu Zong
Kaizhu Huang
28
12
0
15 Sep 2020
Improving Machine Reading Comprehension with Contextualized Commonsense
  Knowledge
Improving Machine Reading Comprehension with Contextualized Commonsense Knowledge
Kai Sun
Dian Yu
Jianshu Chen
Dong Yu
Claire Cardie
27
12
0
12 Sep 2020
Learning to summarize from human feedback
Learning to summarize from human feedback
Nisan Stiennon
Long Ouyang
Jeff Wu
Daniel M. Ziegler
Ryan J. Lowe
Chelsea Voss
Alec Radford
Dario Amodei
Paul Christiano
ALM
37
1,984
0
02 Sep 2020
A Survey of Evaluation Metrics Used for NLG Systems
A Survey of Evaluation Metrics Used for NLG Systems
Ananya B. Sai
Akash Kumar Mohankumar
Mitesh M. Khapra
ELM
33
230
0
27 Aug 2020
Abstractive Summarization of Spoken and Written Instructions with BERT
Abstractive Summarization of Spoken and Written Instructions with BERT
A. Savelieva
B. Auyeung
Vasantha Ramani
15
17
0
21 Aug 2020
Question and Answer Test-Train Overlap in Open-Domain Question Answering
  Datasets
Question and Answer Test-Train Overlap in Open-Domain Question Answering Datasets
Patrick Lewis
Pontus Stenetorp
Sebastian Riedel
OOD
ELM
12
184
0
06 Aug 2020
A critical analysis of metrics used for measuring progress in artificial
  intelligence
A critical analysis of metrics used for measuring progress in artificial intelligence
Kathrin Blagec
Georg Dorffner
M. Moradi
Matthias Samwald
28
33
0
06 Aug 2020
Enriching Video Captions With Contextual Text
Enriching Video Captions With Contextual Text
Philipp Rimle
Pelin Dogan
Markus Gross
30
3
0
29 Jul 2020
SummEval: Re-evaluating Summarization Evaluation
SummEval: Re-evaluating Summarization Evaluation
Alexander R. Fabbri
Wojciech Kry'sciñski
Bryan McCann
Caiming Xiong
R. Socher
Dragomir R. Radev
HILM
38
689
0
24 Jul 2020
LogiQA: A Challenge Dataset for Machine Reading Comprehension with
  Logical Reasoning
LogiQA: A Challenge Dataset for Machine Reading Comprehension with Logical Reasoning
Jian Liu
Leyang Cui
Hanmeng Liu
Dandan Huang
Yile Wang
Yue Zhang
RALM
14
335
0
16 Jul 2020
Answering Questions on COVID-19 in Real-Time
Answering Questions on COVID-19 in Real-Time
Jinhyuk Lee
Sean S. Yi
Minbyul Jeong
Mujeen Sung
Wonjin Yoon
Yonghwa Choi
Miyoung Ko
Jaewoo Kang
18
43
0
29 Jun 2020
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with
  Bilingual Semantic Similarity Rewards
A Deep Reinforced Model for Zero-Shot Cross-Lingual Summarization with Bilingual Semantic Similarity Rewards
Zi-Yi Dou
Sachin Kumar
Yulia Tsvetkov
22
10
0
27 Jun 2020
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
19
376
0
26 Jun 2020
Copy that! Editing Sequences by Copying Spans
Copy that! Editing Sequences by Copying Spans
Sheena Panthaplackel
Miltiadis Allamanis
Marc Brockschmidt
BDL
21
28
0
08 Jun 2020
Question-Driven Summarization of Answers to Consumer Health Questions
Question-Driven Summarization of Answers to Consumer Health Questions
Max E. Savery
Asma Ben Abacha
Soumya Gayen
Dina Demner-Fushman
33
78
0
18 May 2020
SueNes: A Weakly Supervised Approach to Evaluating Single-Document
  Summarization via Negative Sampling
SueNes: A Weakly Supervised Approach to Evaluating Single-Document Summarization via Negative Sampling
F. S. Bao
Hebi Li
Ge Luo
Minghui Qiu
Yinfei Yang
Youbiao He
Cen Chen
18
4
0
13 May 2020
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
BIOMRC: A Dataset for Biomedical Machine Reading Comprehension
Petros Stavropoulos
Dimitris Pappas
Ion Androutsopoulos
Ryan T. McDonald
16
50
0
13 May 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness
  Assessment in Abstractive Summarization
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization
Esin Durmus
He He
Mona T. Diab
HILM
23
384
0
07 May 2020
CAiRE-COVID: A Question Answering and Query-focused Multi-Document
  Summarization System for COVID-19 Scholarly Information Management
CAiRE-COVID: A Question Answering and Query-focused Multi-Document Summarization System for COVID-19 Scholarly Information Management
Dan Su
Yan Xu
Tiezheng Yu
Farhad Bin Siddique
Elham J. Barezi
Pascale Fung
RALM
11
31
0
04 May 2020
To Test Machine Comprehension, Start by Defining Comprehension
To Test Machine Comprehension, Start by Defining Comprehension
Jesse Dunietz
Greg Burnham
Akash Bharadwaj
Owen Rambow
Jennifer Chu-Carroll
D. Ferrucci
FaML
54
65
0
04 May 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven
  Cloze Reward
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward
Luyang Huang
Lingfei Wu
Lu Wang
RALM
32
161
0
03 May 2020
DQI: Measuring Data Quality in NLP
DQI: Measuring Data Quality in NLP
Swaroop Mishra
Anjana Arunkumar
Bhavdeep Singh Sachdeva
Chris Bryan
Chitta Baral
36
30
0
02 May 2020
MLSUM: The Multilingual Summarization Corpus
MLSUM: The Multilingual Summarization Corpus
Thomas Scialom
Paul-Alexis Dray
Sylvain Lamprier
Benjamin Piwowarski
Jacopo Staiano
29
173
0
30 Apr 2020
Towards Transparent and Explainable Attention Models
Towards Transparent and Explainable Attention Models
Akash Kumar Mohankumar
Preksha Nema
Sharan Narasimhan
Mitesh M. Khapra
Balaji Vasan Srinivasan
Balaraman Ravindran
42
99
0
29 Apr 2020
Reference and Document Aware Semantic Evaluation Methods for Korean
  Language Summarization
Reference and Document Aware Semantic Evaluation Methods for Korean Language Summarization
Dongyub Lee
M. Shin
Taesun Whang
Seung Woo Cho
Byeongil Ko
Daniel Lee
EungGyun Kim
Jaechoon Jo
41
12
0
29 Apr 2020
Lite Transformer with Long-Short Range Attention
Lite Transformer with Long-Short Range Attention
Zhanghao Wu
Zhijian Liu
Ji Lin
Yujun Lin
Song Han
23
317
0
24 Apr 2020
A Survey of Document Grounded Dialogue Systems (DGDS)
A Survey of Document Grounded Dialogue Systems (DGDS)
Longxuan Ma
Weinan Zhang
Mingda Li
Ting Liu
27
19
0
17 Apr 2020
A Divide-and-Conquer Approach to the Summarization of Long Documents
A Divide-and-Conquer Approach to the Summarization of Long Documents
Alexios Gidiotis
Grigorios Tsoumakas
25
18
0
13 Apr 2020
Asking and Answering Questions to Evaluate the Factual Consistency of
  Summaries
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries
Alex Jinpeng Wang
Kyunghyun Cho
M. Lewis
HILM
12
472
0
08 Apr 2020
Exploring Versatile Generative Language Model Via Parameter-Efficient
  Transfer Learning
Exploring Versatile Generative Language Model Via Parameter-Efficient Transfer Learning
Zhaojiang Lin
Andrea Madotto
Pascale Fung
34
155
0
08 Apr 2020
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