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Jointly Improving Language Understanding and Generation with
  Quality-Weighted Weak Supervision of Automatic Labeling

Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling

6 February 2021
Ernie Chang
Vera Demberg
Alex Marin
    NoLa
ArXiv (abs)PDFHTML

Papers citing "Jointly Improving Language Understanding and Generation with Quality-Weighted Weak Supervision of Automatic Labeling"

42 / 42 papers shown
Title
Neural Data-to-Text Generation with LM-based Text Augmentation
Neural Data-to-Text Generation with LM-based Text Augmentation
Ernie Chang
Xiaoyu Shen
D. Zhu
Vera Demberg
Hui Su
66
46
0
06 Feb 2021
Does the Order of Training Samples Matter? Improving Neural Data-to-Text
  Generation with Curriculum Learning
Does the Order of Training Samples Matter? Improving Neural Data-to-Text Generation with Curriculum Learning
Ernie Chang
Hui-Syuan Yeh
Vera Demberg
70
40
0
06 Feb 2021
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
Safe Handover in Mixed-Initiative Control for Cyber-Physical Systems
Frederik Wiehr
Anke Hirsch
Florian Daiber
Antonio Kruger
Alisa Kovtunova
Stefan Borgwardt
Ernie Chang
Vera Demberg
Marcel Steinmetz
Hoffmann Jorg
33
4
0
21 Oct 2020
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
DART: A Lightweight Quality-Suggestive Data-to-Text Annotation Tool
Ernie Chang
J. Caplinger
Alex Marin
Xiaoyu Shen
Vera Demberg
39
18
0
08 Oct 2020
A Generative Model for Joint Natural Language Understanding and
  Generation
A Generative Model for Joint Natural Language Understanding and Generation
Bo-Hsiang Tseng
Jianpeng Cheng
Yimai Fang
David Vandyke
59
22
0
12 Jun 2020
GPT-too: A language-model-first approach for AMR-to-text generation
GPT-too: A language-model-first approach for AMR-to-text generation
Manuel Mager
Ramón Fernández Astudillo
Tahira Naseem
Md Arafat Sultan
Young-Suk Lee
Radu Florian
Salim Roukos
69
100
0
18 May 2020
It's Easier to Translate out of English than into it: Measuring Neural
  Translation Difficulty by Cross-Mutual Information
It's Easier to Translate out of English than into it: Measuring Neural Translation Difficulty by Cross-Mutual Information
Emanuele Bugliarello
Sabrina J. Mielke
Antonios Anastasopoulos
Ryan Cotterell
Naoaki Okazaki
78
23
0
05 May 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and
  Correspondence
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence
Xiaoyu Shen
Ernie Chang
Hui Su
Jie Zhou
Dietrich Klakow
65
49
0
03 May 2020
Language Model Prior for Low-Resource Neural Machine Translation
Language Model Prior for Low-Resource Neural Machine Translation
Christos Baziotis
Barry Haddow
Alexandra Birch
56
53
0
30 Apr 2020
Towards Unsupervised Language Understanding and Generation by Joint Dual
  Learning
Towards Unsupervised Language Understanding and Generation by Joint Dual Learning
Shang-Yu Su
Chao-Wei Huang
Yun-Nung Chen
77
26
0
30 Apr 2020
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation
  with Semantic Fidelity
Have Your Text and Use It Too! End-to-End Neural Data-to-Text Generation with Semantic Fidelity
Hamza Harkous
Isabel Groves
Amir Saffari
73
89
0
08 Apr 2020
Unsupervised Pidgin Text Generation By Pivoting English Data and
  Self-Training
Unsupervised Pidgin Text Generation By Pivoting English Data and Self-Training
Ernie Chang
David Ifeoluwa Adelani
Xiaoyu Shen
Vera Demberg
49
22
0
18 Mar 2020
Few-shot Natural Language Generation for Task-Oriented Dialog
Few-shot Natural Language Generation for Task-Oriented Dialog
Baolin Peng
Chenguang Zhu
Chunyuan Li
Xiujun Li
Jinchao Li
Michael Zeng
Jianfeng Gao
80
201
0
27 Feb 2020
Revisiting Challenges in Data-to-Text Generation with Fact Grounding
Revisiting Challenges in Data-to-Text Generation with Fact Grounding
Hongmin Wang
HILM
69
51
0
12 Jan 2020
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
547
42,639
0
03 Dec 2019
Semi-Supervised Neural Text Generation by Joint Learning of Natural
  Language Generation and Natural Language Understanding Models
Semi-Supervised Neural Text Generation by Joint Learning of Natural Language Generation and Natural Language Understanding Models
Raheel Qader
François Portet
Cyril Labbe
145
23
0
29 Sep 2019
Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained
  Language Models for Task-Oriented Dialogue Systems
Hello, It's GPT-2 -- How Can I Help You? Towards the Use of Pretrained Language Models for Task-Oriented Dialogue Systems
Paweł Budzianowski
Ivan Vulić
70
310
0
12 Jul 2019
Constrained Decoding for Neural NLG from Compositional Representations
  in Task-Oriented Dialogue
Constrained Decoding for Neural NLG from Compositional Representations in Task-Oriented Dialogue
Anusha Balakrishnan
J. Rao
Kartikeya Upasani
Michael White
R. Subba
129
83
0
17 Jun 2019
Dual Supervised Learning for Natural Language Understanding and
  Generation
Dual Supervised Learning for Natural Language Understanding and Generation
Shang-Yu Su
Chao-Wei Huang
Yun-Nung Chen
125
38
0
15 May 2019
Few-Shot NLG with Pre-Trained Language Model
Few-Shot NLG with Pre-Trained Language Model
Zhiyu Zoey Chen
H. Eavani
Wenhu Chen
Yinyin Liu
William Yang Wang
LMTD
80
142
0
21 Apr 2019
An Unsupervised Joint System for Text Generation from Knowledge Graphs
  and Semantic Parsing
An Unsupervised Joint System for Text Generation from Knowledge Graphs and Semantic Parsing
Martin Schmitt
Sahand Sharifzadeh
Volker Tresp
Hinrich Schütze
46
5
0
20 Apr 2019
Step-by-Step: Separating Planning from Realization in Neural
  Data-to-Text Generation
Step-by-Step: Separating Planning from Realization in Neural Data-to-Text Generation
Amit Moryossef
Yoav Goldberg
Ido Dagan
63
184
0
06 Apr 2019
Multilingual Neural Machine Translation with Knowledge Distillation
Multilingual Neural Machine Translation with Knowledge Distillation
Xu Tan
Yi Ren
Di He
Tao Qin
Zhou Zhao
Tie-Yan Liu
86
250
0
27 Feb 2019
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence
  Natural Language Generation
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Juraj Juraska
P. Karagiannis
Kevin K. Bowden
M. Walker
86
88
0
16 May 2018
Learning Matching Models with Weak Supervision for Response Selection in
  Retrieval-based Chatbots
Learning Matching Models with Weak Supervision for Response Selection in Retrieval-based Chatbots
Yuehua Wu
Wei Wu
Zhoujun Li
M. Zhou
56
38
0
07 May 2018
Phrase-Based & Neural Unsupervised Machine Translation
Phrase-Based & Neural Unsupervised Machine Translation
Guillaume Lample
Myle Ott
Alexis Conneau
Ludovic Denoyer
MarcÁurelio Ranzato
91
682
0
20 Apr 2018
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks
  on Corrupted Labels
MentorNet: Learning Data-Driven Curriculum for Very Deep Neural Networks on Corrupted Labels
Lu Jiang
Zhengyuan Zhou
Thomas Leung
Li Li
Li Fei-Fei
NoLa
128
1,456
0
14 Dec 2017
Snorkel: Rapid Training Data Creation with Weak Supervision
Snorkel: Rapid Training Data Creation with Weak Supervision
Alexander Ratner
Stephen H. Bach
Henry R. Ehrenberg
Jason Alan Fries
Sen Wu
Christopher Ré
81
1,030
0
28 Nov 2017
Fidelity-Weighted Learning
Fidelity-Weighted Learning
Mostafa Dehghani
Arash Mehrjou
Stephan Gouws
J. Kamps
Bernhard Schölkopf
NoLaFedML
79
75
0
08 Nov 2017
Unsupervised Machine Translation Using Monolingual Corpora Only
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample
Alexis Conneau
Ludovic Denoyer
MarcÁurelio Ranzato
SSL
146
1,097
0
31 Oct 2017
Unsupervised Neural Machine Translation
Unsupervised Neural Machine Translation
Mikel Artetxe
Gorka Labaka
Eneko Agirre
Kyunghyun Cho
95
772
0
30 Oct 2017
Challenges in Data-to-Document Generation
Challenges in Data-to-Document Generation
Sam Wiseman
Stuart M. Shieber
Alexander M. Rush
188
591
0
25 Jul 2017
Why We Need New Evaluation Metrics for NLG
Why We Need New Evaluation Metrics for NLG
Jekaterina Novikova
Ondrej Dusek
Amanda Cercas Curry
Verena Rieser
100
462
0
21 Jul 2017
The E2E Dataset: New Challenges For End-to-End Generation
The E2E Dataset: New Challenges For End-to-End Generation
Jekaterina Novikova
Ondrej Dusek
Verena Rieser
113
462
0
28 Jun 2017
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity
  Model
Neobility at SemEval-2017 Task 1: An Attention-based Sentence Similarity Model
Wenli Zhuang
Ernie Chang
134
16
0
16 Mar 2017
Learning the Structure of Generative Models without Labeled Data
Learning the Structure of Generative Models without Labeled Data
Stephen H. Bach
Bryan D. He
Alexander Ratner
Christopher Ré
68
166
0
02 Mar 2017
Learning to generate one-sentence biographies from Wikidata
Learning to generate one-sentence biographies from Wikidata
Andrew Chisholm
Will Radford
Ben Hachey
SyDa
139
110
0
21 Feb 2017
Dual Learning for Machine Translation
Dual Learning for Machine Translation
Yingce Xia
Di He
Tao Qin
Liwei Wang
Nenghai Yu
Tie-Yan Liu
Wei-Ying Ma
AI4CE
91
850
0
01 Nov 2016
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax
  Trees and Strings
Sequence-to-Sequence Generation for Spoken Dialogue via Deep Syntax Trees and Strings
Ondrej Dusek
Filip Jurcícek
60
187
0
17 Jun 2016
Neural Belief Tracker: Data-Driven Dialogue State Tracking
Neural Belief Tracker: Data-Driven Dialogue State Tracking
N. Mrksic
Diarmuid Ó Séaghdha
Tsung-Hsien Wen
Blaise Thomson
S. Young
103
484
0
12 Jun 2016
Improving Neural Machine Translation Models with Monolingual Data
Improving Neural Machine Translation Models with Monolingual Data
Rico Sennrich
Barry Haddow
Alexandra Birch
261
2,724
0
20 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
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