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Towards Faithful Neural Table-to-Text Generation with Content-Matching
  Constraints

Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints

3 May 2020
Zhenyi Wang
Xiaoyang Wang
Bang An
Dong Yu
Changyou Chen
    LMTD
ArXivPDFHTML

Papers citing "Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints"

20 / 20 papers shown
Title
Large Language Models: A Survey
Large Language Models: A Survey
Shervin Minaee
Tomas Mikolov
Narjes Nikzad
M. Asgari-Chenaghlu
R. Socher
Xavier Amatriain
Jianfeng Gao
ALM
LM&MA
ELM
193
408
0
09 Feb 2024
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text
  Generation
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation
Ran Tian
Shashi Narayan
Thibault Sellam
Ankur P. Parikh
HILM
89
96
0
19 Oct 2019
ALBERT: A Lite BERT for Self-supervised Learning of Language
  Representations
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
Zhenzhong Lan
Mingda Chen
Sebastian Goodman
Kevin Gimpel
Piyush Sharma
Radu Soricut
SSL
AIMat
368
6,455
0
26 Sep 2019
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text
  Generation
Key Fact as Pivot: A Two-Stage Model for Low Resource Table-to-Text Generation
Shuming Ma
Pengcheng Yang
Tianyu Liu
Peng Li
Jie Zhou
Xu Sun
SyDa
40
48
0
08 Aug 2019
Handling Divergent Reference Texts when Evaluating Table-to-Text
  Generation
Handling Divergent Reference Texts when Evaluating Table-to-Text Generation
Bhuwan Dhingra
Manaal Faruqui
Ankur P. Parikh
Ming-Wei Chang
Dipanjan Das
William W. Cohen
93
196
0
03 Jun 2019
Improving Sequence-to-Sequence Learning via Optimal Transport
Improving Sequence-to-Sequence Learning via Optimal Transport
Liqun Chen
Yizhe Zhang
Ruiyi Zhang
Chenyang Tao
Zhe Gan
Haichao Zhang
Bai Li
Dinghan Shen
Changyou Chen
Lawrence Carin
OT
60
94
0
18 Jan 2019
End-to-End Content and Plan Selection for Data-to-Text Generation
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
Falcon Z. Dai
H. Elder
Alexander M. Rush
54
71
0
10 Oct 2018
Describing a Knowledge Base
Describing a Knowledge Base
Qingyun Wang
Xiaoman Pan
Lifu Huang
Boliang Zhang
Zhiying Jiang
Heng Ji
Kevin Knight
57
54
0
06 Sep 2018
Learning Neural Templates for Text Generation
Learning Neural Templates for Text Generation
Sam Wiseman
Stuart M. Shieber
Alexander M. Rush
108
200
0
30 Aug 2018
Graph-to-Sequence Learning using Gated Graph Neural Networks
Graph-to-Sequence Learning using Gated Graph Neural Networks
Daniel Beck
Gholamreza Haffari
Trevor Cohn
GNN
69
324
0
26 Jun 2018
A Graph-to-Sequence Model for AMR-to-Text Generation
A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song
Yue Zhang
Zhiguo Wang
D. Gildea
GNN
AIMat
96
254
0
07 May 2018
Bootstrapping Generators from Noisy Data
Bootstrapping Generators from Noisy Data
Laura Perez-Beltrachini
Mirella Lapata
47
40
0
17 Apr 2018
Table-to-text Generation by Structure-aware Seq2seq Learning
Table-to-text Generation by Structure-aware Seq2seq Learning
Tianyu Liu
Kexiang Wang
Lei Sha
Baobao Chang
Zhifang Sui
LMTD
69
267
0
27 Nov 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
701
131,652
0
12 Jun 2017
Learning Generative Models with Sinkhorn Divergences
Learning Generative Models with Sinkhorn Divergences
Aude Genevay
Gabriel Peyré
Marco Cuturi
OT
173
630
0
01 Jun 2017
Get To The Point: Summarization with Pointer-Generator Networks
Get To The Point: Summarization with Pointer-Generator Networks
A. See
Peter J. Liu
Christopher D. Manning
3DPC
293
4,019
0
14 Apr 2017
OpenNMT: Open-Source Toolkit for Neural Machine Translation
OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
Yoon Kim
Yuntian Deng
Jean Senellart
Alexander M. Rush
330
1,900
0
10 Jan 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural Networks
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
434
20,568
0
10 Sep 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
558
27,311
0
01 Sep 2014
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