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Inducing Causal Structure for Abstractive Text Summarization

Inducing Causal Structure for Abstractive Text Summarization

24 August 2023
Luyao Chen
Ruqing Zhang
Wei Huang
Wei Chen
Jiafeng Guo
Xueqi Cheng
    CML
ArXivPDFHTML

Papers citing "Inducing Causal Structure for Abstractive Text Summarization"

26 / 26 papers shown
Title
Towards efficient representation identification in supervised learning
Towards efficient representation identification in supervised learning
Kartik Ahuja
Divyat Mahajan
Vasilis Syrgkanis
Ioannis Mitliagkas
CoGe
OOD
DRL
50
19
0
10 Apr 2022
A Causal Lens for Controllable Text Generation
A Causal Lens for Controllable Text Generation
Zhiting Hu
Erran L. Li
79
64
0
22 Jan 2022
Factual Consistency Evaluation for Text Summarization via Counterfactual
  Estimation
Factual Consistency Evaluation for Text Summarization via Counterfactual Estimation
Yuexiang Xie
Fei Sun
Yang Deng
Yaliang Li
Bolin Ding
HILM
49
54
0
30 Aug 2021
Deep Stable Learning for Out-Of-Distribution Generalization
Deep Stable Learning for Out-Of-Distribution Generalization
Xingxuan Zhang
Peng Cui
Renzhe Xu
Linjun Zhou
Yue He
Zheyan Shen
OOD
75
257
0
16 Apr 2021
GLM: General Language Model Pretraining with Autoregressive Blank
  Infilling
GLM: General Language Model Pretraining with Autoregressive Blank Infilling
Zhengxiao Du
Yujie Qian
Xiao Liu
Ming Ding
J. Qiu
Zhilin Yang
Jie Tang
BDL
AI4CE
120
1,543
0
18 Mar 2021
Unsupervised Extractive Summarization by Pre-training Hierarchical
  Transformers
Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers
Shusheng Xu
Xingxing Zhang
Yi Wu
Furu Wei
Ming Zhou
90
45
0
16 Oct 2020
Representation Learning via Invariant Causal Mechanisms
Representation Learning via Invariant Causal Mechanisms
Jovana Mitrović
Brian McWilliams
Jacob Walker
Lars Buesing
Charles Blundell
CML
OOD
SSL
60
249
0
15 Oct 2020
Composed Variational Natural Language Generation for Few-shot Intents
Composed Variational Natural Language Generation for Few-shot Intents
Congying Xia
Caiming Xiong
Philip Yu
R. Socher
VLM
DRL
57
31
0
21 Sep 2020
Counterfactual VQA: A Cause-Effect Look at Language Bias
Counterfactual VQA: A Cause-Effect Look at Language Bias
Yulei Niu
Kaihua Tang
Hanwang Zhang
Zhiwu Lu
Xiansheng Hua
Ji-Rong Wen
CML
104
401
0
08 Jun 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
74
163
0
03 May 2020
Extractive Summarization as Text Matching
Extractive Summarization as Text Matching
Ming Zhong
Pengfei Liu
Yiran Chen
Danqing Wang
Xipeng Qiu
Xuanjing Huang
141
462
0
19 Apr 2020
Causal Interpretability for Machine Learning -- Problems, Methods and
  Evaluation
Causal Interpretability for Machine Learning -- Problems, Methods and Evaluation
Raha Moraffah
Mansooreh Karami
Ruocheng Guo
A. Raglin
Huan Liu
CML
ELM
XAI
57
219
0
09 Mar 2020
A Survey on Causal Inference
A Survey on Causal Inference
Liuyi Yao
Zhixuan Chu
Sheng Li
Yaliang Li
Jing Gao
Aidong Zhang
CML
74
507
0
05 Feb 2020
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive
  Summarization
PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization
Jingqing Zhang
Yao-Min Zhao
Mohammad Saleh
Peter J. Liu
RALM
3DGS
270
2,048
0
18 Dec 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text
  Transformer
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
409
20,114
0
23 Oct 2019
Neural Text Summarization: A Critical Evaluation
Neural Text Summarization: A Critical Evaluation
Wojciech Kry'sciñski
N. Keskar
Bryan McCann
Caiming Xiong
R. Socher
74
366
0
23 Aug 2019
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional
  Neural Networks for Extreme Summarization
Don't Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
119
1,674
0
27 Aug 2018
Unsupervised Learning of Disentangled and Interpretable Representations
  from Sequential Data
Unsupervised Learning of Disentangled and Interpretable Representations from Sequential Data
Wei-Ning Hsu
Yu Zhang
James R. Glass
BDL
SSL
78
351
0
22 Sep 2017
A Deep Reinforced Model for Abstractive Summarization
A Deep Reinforced Model for Abstractive Summarization
Romain Paulus
Caiming Xiong
R. Socher
AI4TS
197
1,557
0
11 May 2017
SummaRuNNer: A Recurrent Neural Network based Sequence Model for
  Extractive Summarization of Documents
SummaRuNNer: A Recurrent Neural Network based Sequence Model for Extractive Summarization of Documents
Ramesh Nallapati
Feifei Zhai
Bowen Zhou
335
1,262
0
14 Nov 2016
Unbiased Learning-to-Rank with Biased Feedback
Unbiased Learning-to-Rank with Biased Feedback
Thorsten Joachims
Adith Swaminathan
Tobias Schnabel
CML
75
542
0
16 Aug 2016
A Neural Attention Model for Abstractive Sentence Summarization
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
S. Chopra
Jason Weston
CVBM
182
2,700
0
02 Sep 2015
Teaching Machines to Read and Comprehend
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
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their Compositionality
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAI
OCL
382
33,520
0
16 Oct 2013
On Causal and Anticausal Learning
On Causal and Anticausal Learning
Bernhard Schölkopf
Dominik Janzing
J. Peters
Eleni Sgouritsa
Kun Zhang
Joris Mooij
CML
81
607
0
27 Jun 2012
Identifying confounders using additive noise models
Identifying confounders using additive noise models
Dominik Janzing
J. Peters
Joris Mooij
Bernhard Schölkopf
CML
91
67
0
09 May 2012
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