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Controllable Abstractive Summarization
v1v2 (latest)

Controllable Abstractive Summarization

14 November 2017
Angela Fan
David Grangier
Michael Auli
ArXiv (abs)PDFHTML

Papers citing "Controllable Abstractive Summarization"

50 / 155 papers shown
Self-Supervised and Controlled Multi-Document Opinion Summarization
Self-Supervised and Controlled Multi-Document Opinion SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2020
Hady ElSahar
Maximin Coavoux
Matthias Gallé
Jos Rozen
133
51
0
30 Apr 2020
Augmenting Transformers with KNN-Based Composite Memory for Dialogue
Augmenting Transformers with KNN-Based Composite Memory for DialogueTransactions of the Association for Computational Linguistics (TACL), 2020
Angela Fan
Claire Gardent
Chloé Braud
Antoine Bordes
RALM
319
80
0
27 Apr 2020
Improving Readability for Automatic Speech Recognition Transcription
Improving Readability for Automatic Speech Recognition Transcription
Junwei Liao
Sefik Emre Eskimez
Liyang Lu
Yu Shi
Ming Gong
Linjun Shou
Hong Qu
Michael Zeng
163
61
0
09 Apr 2020
Addressing Some Limitations of Transformers with Feedback Memory
Addressing Some Limitations of Transformers with Feedback Memory
Angela Fan
Thibaut Lavril
Edouard Grave
Armand Joulin
Sainbayar Sukhbaatar
197
11
0
21 Feb 2020
Interpretable Multi-Headed Attention for Abstractive Summarization at
  Controllable Lengths
Interpretable Multi-Headed Attention for Abstractive Summarization at Controllable Lengths
Ritesh Sarkhel
Moniba Keymanesh
Arnab Nandi
Srinivasan Parthasarathy
144
2
0
18 Feb 2020
Time-aware Large Kernel Convolutions
Time-aware Large Kernel ConvolutionsInternational Conference on Machine Learning (ICML), 2020
Vasileios Lioutas
Yuhong Guo
AI4TS
268
30
0
08 Feb 2020
Length-controllable Abstractive Summarization by Guiding with Summary
  Prototype
Length-controllable Abstractive Summarization by Guiding with Summary Prototype
Itsumi Saito
Kyosuke Nishida
Kosuke Nishida
Atsushi Otsuka
Hisako Asano
J. Tomita
Hiroyuki Shindo
Yuji Matsumoto
256
37
0
21 Jan 2020
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence
  Pre-training
ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-trainingFindings (Findings), 2020
Weizhen Qi
Yu Yan
Yeyun Gong
Dayiheng Liu
Nan Duan
Jiusheng Chen
Ruofei Zhang
Ming Zhou
AI4TS
367
473
0
13 Jan 2020
Explicit Sentence Compression for Neural Machine Translation
Explicit Sentence Compression for Neural Machine TranslationAAAI Conference on Artificial Intelligence (AAAI), 2019
Z. Li
Rui Wang
Kehai Chen
Masao Utiyama
Eiichiro Sumita
Zhuosheng Zhang
Hai Zhao
156
31
0
27 Dec 2019
Generating summaries tailored to target characteristics
Generating summaries tailored to target characteristics
Kushal Chawla
Hrituraj Singh
Arijit Pramanik
Mithlesh Kumar
Balaji Vasan Srinivasan
120
0
0
18 Dec 2019
Neural Machine Translation: A Review and Survey
Neural Machine Translation: A Review and SurveyJournal of Artificial Intelligence Research (JAIR), 2019
Felix Stahlberg
3DVAI4TSMedIm
387
384
0
04 Dec 2019
Controlling the Amount of Verbatim Copying in Abstractive Summarization
Controlling the Amount of Verbatim Copying in Abstractive SummarizationAAAI Conference on Artificial Intelligence (AAAI), 2019
Kaiqiang Song
Bingqing Wang
Z. Feng
Liu Ren
Fei Liu
168
54
0
23 Nov 2019
Generating Interactive Worlds with Text
Generating Interactive Worlds with TextAAAI Conference on Artificial Intelligence (AAAI), 2019
Angela Fan
Jack Urbanek
Pratik Ringshia
Emily Dinan
Emma Qian
...
Shrimai Prabhumoye
Douwe Kiela
Tim Rocktaschel
Arthur Szlam
Jason Weston
289
30
0
20 Nov 2019
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood
  Training
Don't Say That! Making Inconsistent Dialogue Unlikely with Unlikelihood TrainingAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Margaret Li
Stephen Roller
Ilia Kulikov
Sean Welleck
Y-Lan Boureau
Dong Wang
Jason Weston
286
199
0
10 Nov 2019
Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation
Queens are Powerful too: Mitigating Gender Bias in Dialogue GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Emily Dinan
Angela Fan
Adina Williams
Jack Urbanek
Douwe Kiela
Jason Weston
379
221
0
10 Nov 2019
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension
BART: Denoising Sequence-to-Sequence Pre-training for Natural Language Generation, Translation, and ComprehensionAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
M. Lewis
Yinhan Liu
Naman Goyal
Marjan Ghazvininejad
Abdel-rahman Mohamed
Omer Levy
Veselin Stoyanov
Luke Zettlemoyer
AIMatVLM
854
12,171
0
29 Oct 2019
Controlling the Output Length of Neural Machine Translation
Controlling the Output Length of Neural Machine TranslationInternational Workshop on Spoken Language Translation (IWSLT), 2019
Surafel Melaku Lakew
Mattia Antonino Di Gangi
Marcello Federico
313
71
0
23 Oct 2019
Controllable Sentence Simplification: Employing Syntactic and Lexical
  Constraints
Controllable Sentence Simplification: Employing Syntactic and Lexical Constraints
Jonathan Mallinson
Mirella Lapata
189
17
0
10 Oct 2019
Controllable Sentence Simplification
Controllable Sentence SimplificationInternational Conference on Language Resources and Evaluation (LREC), 2019
Louis Martin
Benoît Sagot
Eric Villemonte de la Clergerie
Antoine Bordes
227
164
0
07 Oct 2019
Generating Diverse Story Continuations with Controllable Semantics
Generating Diverse Story Continuations with Controllable SemanticsConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Lifu Tu
Xiaoan Ding
Dong Yu
Kevin Gimpel
187
12
0
30 Sep 2019
Reducing Transformer Depth on Demand with Structured Dropout
Reducing Transformer Depth on Demand with Structured DropoutInternational Conference on Learning Representations (ICLR), 2019
Angela Fan
Edouard Grave
Armand Joulin
630
662
0
25 Sep 2019
Controllable Length Control Neural Encoder-Decoder via Reinforcement
  Learning
Controllable Length Control Neural Encoder-Decoder via Reinforcement Learning
Junyi Bian
Baojun Lin
Kecheng Zhang
Zhaohui Yan
H. Tang
Yonghe Zhang
104
5
0
17 Sep 2019
Select and Attend: Towards Controllable Content Selection in Text
  Generation
Select and Attend: Towards Controllable Content Selection in Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2019
Xiaoyu Shen
Jun Suzuki
Kentaro Inui
Hui Su
Dietrich Klakow
Satoshi Sekine
167
29
0
10 Sep 2019
Informative and Controllable Opinion Summarization
Informative and Controllable Opinion SummarizationConference of the European Chapter of the Association for Computational Linguistics (EACL), 2019
Reinald Kim Amplayo
Mirella Lapata
168
58
0
05 Sep 2019
Neural Text Generation with Unlikelihood Training
Neural Text Generation with Unlikelihood TrainingInternational Conference on Learning Representations (ICLR), 2019
Sean Welleck
Ilia Kulikov
Stephen Roller
Emily Dinan
Dong Wang
Jason Weston
MU
493
648
0
12 Aug 2019
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality
  Variation and Discourse Contrast
Maximizing Stylistic Control and Semantic Accuracy in NLG: Personality Variation and Discourse Contrast
Vrindavan Harrison
Lena Reed
Shereen Oraby
M. Walker
182
28
0
22 Jul 2019
ELI5: Long Form Question Answering
ELI5: Long Form Question AnsweringAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Angela Fan
Yacine Jernite
Ethan Perez
David Grangier
Jason Weston
Michael Auli
AI4MHELM
439
738
0
22 Jul 2019
What is this Article about? Extreme Summarization with Topic-aware
  Convolutional Neural Networks
What is this Article about? Extreme Summarization with Topic-aware Convolutional Neural NetworksJournal of Artificial Intelligence Research (JAIR), 2019
Shashi Narayan
Shay B. Cohen
Mirella Lapata
AILaw
231
18
0
19 Jul 2019
Discourse Understanding and Factual Consistency in Abstractive
  Summarization
Discourse Understanding and Factual Consistency in Abstractive Summarization
Saadia Gabriel
Antoine Bosselut
Jeff Da
Ari Holtzman
Jan Buys
Kyle Lo
Asli Celikyilmaz
Yejin Choi
HILM
176
11
0
02 Jul 2019
Curate and Generate: A Corpus and Method for Joint Control of Semantics
  and Style in Neural NLG
Curate and Generate: A Corpus and Method for Joint Control of Semantics and Style in Neural NLGAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Shereen Oraby
Vrindavan Harrison
Abteen Ebrahimi
M. Walker
270
26
0
04 Jun 2019
Controllable Paraphrase Generation with a Syntactic Exemplar
Controllable Paraphrase Generation with a Syntactic ExemplarAnnual Meeting of the Association for Computational Linguistics (ACL), 2019
Mingda Chen
Qingming Tang
Sam Wiseman
Kevin Gimpel
BDL
192
115
0
03 Jun 2019
Positional Encoding to Control Output Sequence Length
Positional Encoding to Control Output Sequence Length
Sho Takase
Naoaki Okazaki
256
124
0
16 Apr 2019
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Crowdsourcing Lightweight Pyramids for Manual Summary Evaluation
Ori Shapira
David Gabay
Yang Gao
H. Ronen
Ramakanth Pasunuru
Joey Tianyi Zhou
Yael Amsterdamer
Ido Dagan
191
65
0
11 Apr 2019
Text Generation with Exemplar-based Adaptive Decoding
Text Generation with Exemplar-based Adaptive Decoding
Hao Peng
Ankur P. Parikh
Manaal Faruqui
Bhuwan Dhingra
Dipanjan Das
188
59
0
09 Apr 2019
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for
  Unsupervised Abstractive Sentence Compression
SEQ^3: Differentiable Sequence-to-Sequence-to-Sequence Autoencoder for Unsupervised Abstractive Sentence Compression
Christos Baziotis
Ion Androutsopoulos
Ioannis Konstas
Alexandros Potamianos
236
85
0
07 Apr 2019
Jointly Extracting and Compressing Documents with Summary State
  Representations
Jointly Extracting and Compressing Documents with Summary State Representations
Afonso Mendes
Shashi Narayan
Sebastião Miranda
Zita Marinho
André F. T. Martins
Shay B. Cohen
306
52
0
03 Apr 2019
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
fairseq: A Fast, Extensible Toolkit for Sequence Modeling
Myle Ott
Sergey Edunov
Alexei Baevski
Angela Fan
Sam Gross
Nathan Ng
David Grangier
Michael Auli
VLMFaML
593
3,321
0
01 Apr 2019
A Large-Scale Multi-Length Headline Corpus for Analyzing
  Length-Constrained Headline Generation Model Evaluation
A Large-Scale Multi-Length Headline Corpus for Analyzing Length-Constrained Headline Generation Model Evaluation
Yuta Hitomi
Yuya Taguchi
Hideaki Tamori
Ko Kikuta
Jiro Nishitoba
Naoaki Okazaki
Kentaro Inui
Manabu Okumura
268
9
0
28 Mar 2019
Pre-trained Language Model Representations for Language Generation
Pre-trained Language Model Representations for Language Generation
Sergey Edunov
Alexei Baevski
Michael Auli
240
137
0
22 Mar 2019
What makes a good conversation? How controllable attributes affect human
  judgments
What makes a good conversation? How controllable attributes affect human judgments
A. See
Stephen Roller
Douwe Kiela
Jason Weston
283
314
0
22 Feb 2019
Pay Less Attention with Lightweight and Dynamic Convolutions
Pay Less Attention with Lightweight and Dynamic ConvolutionsInternational Conference on Learning Representations (ICLR), 2019
Felix Wu
Angela Fan
Alexei Baevski
Yann N. Dauphin
Michael Auli
379
646
0
29 Jan 2019
Multi-style Generative Reading Comprehension
Multi-style Generative Reading Comprehension
Kyosuke Nishida
Itsumi Saito
Kosuke Nishida
Kazutoshi Shinoda
Atsushi Otsuka
Hisako Asano
J. Tomita
268
71
0
08 Jan 2019
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Neural Abstractive Text Summarization with Sequence-to-Sequence Models
Tian Shi
Yaser Keneshloo
Naren Ramakrishnan
Chandan K. Reddy
451
252
0
05 Dec 2018
Deep Learning Inference in Facebook Data Centers: Characterization,
  Performance Optimizations and Hardware Implications
Deep Learning Inference in Facebook Data Centers: Characterization, Performance Optimizations and Hardware Implications
Jongsoo Park
Maxim Naumov
Protonu Basu
Summer Deng
Aravind Kalaiah
...
Lin Qiao
Vijay Rao
Nadav Rotem
S. Yoo
M. Smelyanskiy
FedMLGNNBDL
209
195
0
24 Nov 2018
DeepChannel: Salience Estimation by Contrastive Learning for Extractive
  Document Summarization
DeepChannel: Salience Estimation by Contrastive Learning for Extractive Document SummarizationAAAI Conference on Artificial Intelligence (AAAI), 2018
Paramanand Chandramouli
Chen Liang
Lei Hou
C. Bruschini
Zhiyuan Liu
Hanwang Zhang
AI4TS
192
30
0
06 Nov 2018
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Wizard of Wikipedia: Knowledge-Powered Conversational agents
Emily Dinan
Stephen Roller
Kurt Shuster
Angela Fan
Michael Auli
Jason Weston
RALMKELM
315
1,000
0
03 Nov 2018
Unsupervised Sentence Compression using Denoising Auto-Encoders
Unsupervised Sentence Compression using Denoising Auto-Encoders
Thibault Févry
Jason Phang
152
72
0
07 Sep 2018
Neural MultiVoice Models for Expressing Novel Personalities in Dialog
Neural MultiVoice Models for Expressing Novel Personalities in Dialog
Shereen Oraby
Lena Reed
S. SharathT.
Shubhangi Tandon
M. Walker
155
10
0
05 Sep 2018
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
575
1,916
0
27 Aug 2018
Retrieve and Refine: Improved Sequence Generation Models For Dialogue
Retrieve and Refine: Improved Sequence Generation Models For Dialogue
Jason Weston
Emily Dinan
Alexander H. Miller
RALM
298
206
0
14 Aug 2018
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