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Sequence-to-Sequence Learning as Beam-Search Optimization

Sequence-to-Sequence Learning as Beam-Search Optimization

9 June 2016
Sam Wiseman
Alexander M. Rush
ArXivPDFHTML

Papers citing "Sequence-to-Sequence Learning as Beam-Search Optimization"

50 / 276 papers shown
Title
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
UBARv2: Towards Mitigating Exposure Bias in Task-Oriented Dialogs
Yunyi Yang
Hong Ding
Qing Liu
Xiaojun Quan
39
1
0
15 Sep 2022
Automatic Comment Generation via Multi-Pass Deliberation
Automatic Comment Generation via Multi-Pass Deliberation
Fangwen Mu
Xiao Chen
Lin Shi
Song Wang
Qing Wang
38
12
0
14 Sep 2022
An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition
  using a Novel Transformers-based Model and an Innovative 270 Million-Words
  Multi-Font Corpus of Classical Arabic with Diacritics
An End-to-End OCR Framework for Robust Arabic-Handwriting Recognition using a Novel Transformers-based Model and an Innovative 270 Million-Words Multi-Font Corpus of Classical Arabic with Diacritics
Aly M. Kassem
Omar Mohamed
Ali Ashraf
Ahmed Elbehery
Salma Jamal
Anas Salah
A. Ghoneim
17
3
0
20 Aug 2022
Video Question Answering with Iterative Video-Text Co-Tokenization
Video Question Answering with Iterative Video-Text Co-Tokenization
A. Piergiovanni
K. Morton
Weicheng Kuo
Michael S. Ryoo
A. Angelova
25
18
0
01 Aug 2022
Surgical-VQA: Visual Question Answering in Surgical Scenes using
  Transformer
Surgical-VQA: Visual Question Answering in Surgical Scenes using Transformer
Lalithkumar Seenivasan
Mobarakol Islam
Adithya K. Krishna
Hongliang Ren
MedIm
18
45
0
22 Jun 2022
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and
  Semantic Parsing
BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
Subhro Roy
Sam Thomson
Tongfei Chen
Richard Shin
Adam Pauls
Jason Eisner
Benjamin Van Durme
ALM
30
12
0
21 Jun 2022
Quark: Controllable Text Generation with Reinforced Unlearning
Quark: Controllable Text Generation with Reinforced Unlearning
Ximing Lu
Sean Welleck
Jack Hessel
Liwei Jiang
Lianhui Qin
Peter West
Prithviraj Ammanabrolu
Yejin Choi
MU
66
206
0
26 May 2022
RankGen: Improving Text Generation with Large Ranking Models
RankGen: Improving Text Generation with Large Ranking Models
Kalpesh Krishna
Yapei Chang
John Wieting
Mohit Iyyer
AIMat
24
68
0
19 May 2022
End-to-end symbolic regression with transformers
End-to-end symbolic regression with transformers
Pierre-Alexandre Kamienny
Stéphane dÁscoli
Guillaume Lample
Franccois Charton
25
162
0
22 Apr 2022
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via
  Intent Conditioning
Improving Top-K Decoding for Non-Autoregressive Semantic Parsing via Intent Conditioning
Geunseob Oh
Rahul Goel
Christopher Hidey
Shachi Paul
Aditya Gupta
Pararth Shah
Rushin Shah
17
2
0
14 Apr 2022
A Call for Clarity in Beam Search: How It Works and When It Stops
A Call for Clarity in Beam Search: How It Works and When It Stops
Jungo Kasai
Keisuke Sakaguchi
Ronan Le Bras
Dragomir R. Radev
Yejin Choi
Noah A. Smith
26
6
0
11 Apr 2022
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Attention-based CNN-LSTM and XGBoost hybrid model for stock prediction
Zhuangwei Shi
Yang Hu
Guangliang Mo
Jianguo Wu
AIFin
28
16
0
06 Apr 2022
BRIO: Bringing Order to Abstractive Summarization
BRIO: Bringing Order to Abstractive Summarization
Yixin Liu
Pengfei Liu
Dragomir R. Radev
Graham Neubig
15
278
0
31 Mar 2022
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate
  Degradation of Artificial Neural Language Models
GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models
Changye Li
D. Knopman
Weizhe Xu
T. Cohen
Serguei V. S. Pakhomov
9
19
0
25 Mar 2022
Uncertainty-Aware Text-to-Program for Question Answering on Structured
  Electronic Health Records
Uncertainty-Aware Text-to-Program for Question Answering on Structured Electronic Health Records
Daeyoung Kim
Seongsu Bae
S. Kim
E. Choi
13
6
0
14 Mar 2022
NL-Augmenter: A Framework for Task-Sensitive Natural Language
  Augmentation
NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation
Kaustubh D. Dhole
Varun Gangal
Sebastian Gehrmann
Aadesh Gupta
Zhenhao Li
...
Tianbao Xie
Usama Yaseen
Michael A. Yee
Jing Zhang
Yue Zhang
174
86
0
06 Dec 2021
CALText: Contextual Attention Localization for Offline Handwritten Text
CALText: Contextual Attention Localization for Offline Handwritten Text
Tayaba Anjum
Nazar Khan
14
7
0
06 Nov 2021
Outlining and Filling: Hierarchical Query Graph Generation for Answering
  Complex Questions over Knowledge Graphs
Outlining and Filling: Hierarchical Query Graph Generation for Answering Complex Questions over Knowledge Graphs
Yongrui Chen
Huiying Li
Guilin Qi
Tianxing Wu
Tenggou Wang
24
22
0
01 Nov 2021
Semi-Autoregressive Image Captioning
Semi-Autoregressive Image Captioning
Xu Yan
Zhengcong Fei
Zekang Li
Shuhui Wang
Qingming Huang
Qi Tian
27
23
0
11 Oct 2021
Simulated annealing for optimization of graphs and sequences
Simulated annealing for optimization of graphs and sequences
Xianggen Liu
Pengyong Li
Fandong Meng
Hao Zhou
Huasong Zhong
Jie Zhou
Lili Mou
Sen Song
49
19
0
01 Oct 2021
Relating Neural Text Degeneration to Exposure Bias
Relating Neural Text Degeneration to Exposure Bias
Ting-Rui Chiang
Yun-Nung Chen
53
17
0
17 Sep 2021
Improving Scheduled Sampling with Elastic Weight Consolidation for
  Neural Machine Translation
Improving Scheduled Sampling with Elastic Weight Consolidation for Neural Machine Translation
Michalis Korakakis
Andreas Vlachos
CLL
31
2
0
13 Sep 2021
Adversarial Parameter Defense by Multi-Step Risk Minimization
Adversarial Parameter Defense by Multi-Step Risk Minimization
Zhiyuan Zhang
Ruixuan Luo
Xuancheng Ren
Qi Su
Liangyou Li
Xu Sun
AAML
25
6
0
07 Sep 2021
Survey of Low-Resource Machine Translation
Survey of Low-Resource Machine Translation
Barry Haddow
Rachel Bawden
Antonio Valerio Miceli Barone
Jindvrich Helcl
Alexandra Birch
AIMat
31
148
0
01 Sep 2021
Structured Prediction in NLP -- A survey
Structured Prediction in NLP -- A survey
Chauhan Dev
Naman Biyani
Nirmal P. Suthar
Prashant Kumar
Priyanshu Agarwal
AI4TS
AI4CE
8
0
0
31 Aug 2021
Scheduled Sampling Based on Decoding Steps for Neural Machine
  Translation
Scheduled Sampling Based on Decoding Steps for Neural Machine Translation
Yijin Liu
Fandong Meng
Yufeng Chen
Jinan Xu
Jie Zhou
28
16
0
30 Aug 2021
Learning Energy-Based Approximate Inference Networks for Structured
  Applications in NLP
Learning Energy-Based Approximate Inference Networks for Structured Applications in NLP
Lifu Tu
BDL
35
0
0
27 Aug 2021
Modelling Latent Translations for Cross-Lingual Transfer
Modelling Latent Translations for Cross-Lingual Transfer
E. Ponti
Julia Kreutzer
Ivan Vulić
Siva Reddy
32
18
0
23 Jul 2021
Mixed Cross Entropy Loss for Neural Machine Translation
Mixed Cross Entropy Loss for Neural Machine Translation
Haoran Li
Wei Lu
16
16
0
30 Jun 2021
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction
Liliang Ren
Chenkai Sun
Heng Ji
J. Hockenmaier
35
14
0
30 Jun 2021
Towards User-Driven Neural Machine Translation
Towards User-Driven Neural Machine Translation
Huan Lin
Liang Yao
Baosong Yang
Dayiheng Liu
Haibo Zhang
Weihua Luo
Degen Huang
Jinsong Su
31
21
0
11 Jun 2021
A Globally Normalized Neural Model for Semantic Parsing
A Globally Normalized Neural Model for Semantic Parsing
Chenyang Huang
Wei Yang
Yanshuai Cao
Osmar Zaïane
Lili Mou
23
3
0
07 Jun 2021
Exposing the Implicit Energy Networks behind Masked Language Models via
  Metropolis--Hastings
Exposing the Implicit Energy Networks behind Masked Language Models via Metropolis--Hastings
Kartik Goyal
Chris Dyer
Taylor Berg-Kirkpatrick
15
50
0
04 Jun 2021
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
BERTTune: Fine-Tuning Neural Machine Translation with BERTScore
Inigo Jauregi Unanue
Jacob Parnell
Massimo Piccardi
18
32
0
04 Jun 2021
SimCLS: A Simple Framework for Contrastive Learning of Abstractive
  Summarization
SimCLS: A Simple Framework for Contrastive Learning of Abstractive Summarization
Yixin Liu
Peng Liu
AILaw
8
254
0
03 Jun 2021
Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
Sequence to General Tree: Knowledge-Guided Geometry Word Problem Solving
S. Tsai
Chao-Chun Liang
Hsin-Min Wang
Keh-Yih Su
AIMat
16
20
0
02 Jun 2021
FiSH: Fair Spatial Hotspots
FiSH: Fair Spatial Hotspots
Deepak P
Sowmya S. Sundaram
32
1
0
01 Jun 2021
Reinforcement Learning for on-line Sequence Transformation
Reinforcement Learning for on-line Sequence Transformation
Grzegorz Rypesc
Lukasz Lepak
Pawel Wawrzyñski
OffRL
4
0
0
28 May 2021
Understanding the Properties of Minimum Bayes Risk Decoding in Neural
  Machine Translation
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine Translation
Mathias Müller
Rico Sennrich
16
59
0
18 May 2021
Searchable Hidden Intermediates for End-to-End Models of Decomposable
  Sequence Tasks
Searchable Hidden Intermediates for End-to-End Models of Decomposable Sequence Tasks
Siddharth Dalmia
Brian Yan
Vikas Raunak
Florian Metze
Shinji Watanabe
37
30
0
02 May 2021
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm
  for state estimation
Incorporating Transformer and LSTM to Kalman Filter with EM algorithm for state estimation
Zhuang Shi
35
10
0
01 May 2021
Improving Response Quality with Backward Reasoning in Open-domain
  Dialogue Systems
Improving Response Quality with Backward Reasoning in Open-domain Dialogue Systems
Ziming Li
Julia Kiseleva
Maarten de Rijke
13
12
0
30 Apr 2021
Reward Optimization for Neural Machine Translation with Learned Metrics
Reward Optimization for Neural Machine Translation with Learned Metrics
Raphael Shu
Kang Min Yoo
Jung-Woo Ha
29
12
0
15 Apr 2021
Learning from Executions for Semantic Parsing
Learning from Executions for Semantic Parsing
Bailin Wang
Mirella Lapata
Ivan Titov
9
10
0
12 Apr 2021
Attention Forcing for Machine Translation
Attention Forcing for Machine Translation
Qingyun Dou
Yiting Lu
Potsawee Manakul
Xixin Wu
Mark J. F. Gales
23
7
0
02 Apr 2021
Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural
  Networks
Alleviate Exposure Bias in Sequence Prediction \\ with Recurrent Neural Networks
Liping Yuan
Jiangtao Feng
Xiaoqing Zheng
Xuanjing Huang
25
1
0
22 Mar 2021
Set-to-Sequence Methods in Machine Learning: a Review
Set-to-Sequence Methods in Machine Learning: a Review
Mateusz Jurewicz
Leon Derczynski
BDL
27
9
0
17 Mar 2021
Deep Policy Dynamic Programming for Vehicle Routing Problems
Deep Policy Dynamic Programming for Vehicle Routing Problems
W. Kool
H. V. Hoof
J. Gromicho
Max Welling
42
115
0
23 Feb 2021
Deep Structured Feature Networks for Table Detection and Tabular Data Extraction from Scanned Financial Document Images
Siwen Luo
Mengting Wu
Yiwen Gong
Wanying Zhou
Josiah Poon
13
4
0
20 Feb 2021
Speaker and Direction Inferred Dual-channel Speech Separation
Speaker and Direction Inferred Dual-channel Speech Separation
Chenxing Li
Jiaming Xu
N. Mesgarani
Bo Xu
6
8
0
08 Feb 2021
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