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End-to-End Content and Plan Selection for Data-to-Text Generation

End-to-End Content and Plan Selection for Data-to-Text Generation

10 October 2018
Sebastian Gehrmann
Falcon Z. Dai
H. Elder
Alexander M. Rush
ArXivPDFHTML

Papers citing "End-to-End Content and Plan Selection for Data-to-Text Generation"

13 / 13 papers shown
Title
Few-Shot Data-to-Text Generation via Unified Representation and
  Multi-Source Learning
Few-Shot Data-to-Text Generation via Unified Representation and Multi-Source Learning
A. Li
Mingyue Shang
Evangelia Spiliopoulou
Jie Ma
Patrick K. L. Ng
...
William Yang Wang
Kathleen McKeown
Vittorio Castelli
Dan Roth
Bing Xiang
38
2
0
10 Aug 2023
Innovations in Neural Data-to-text Generation: A Survey
Innovations in Neural Data-to-text Generation: A Survey
Mandar Sharma
Ajay K. Gogineni
Naren Ramakrishnan
29
10
0
25 Jul 2022
Robust (Controlled) Table-to-Text Generation with Structure-Aware
  Equivariance Learning
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning
Fei Wang
Zhewei Xu
Pedro A. Szekely
Muhao Chen
LMTD
25
47
0
08 May 2022
May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy
  Method for Natural Language Generation
May the Force Be with Your Copy Mechanism: Enhanced Supervised-Copy Method for Natural Language Generation
Sanghyuk Choi
J. Hwang
Hyungjong Noh
Yeonsoo Lee
18
3
0
20 Dec 2021
HiTab: A Hierarchical Table Dataset for Question Answering and Natural
  Language Generation
HiTab: A Hierarchical Table Dataset for Question Answering and Natural Language Generation
Zhoujun Cheng
Haoyu Dong
Zhiruo Wang
Ran Jia
Jiaqi Guo
Yan Gao
Shi Han
Jian-Guang Lou
Dongmei Zhang
LMTD
10
84
0
15 Aug 2021
Controlling Hallucinations at Word Level in Data-to-Text Generation
Controlling Hallucinations at Word Level in Data-to-Text Generation
Clément Rebuffel
Marco Roberti
Laure Soulier
Geoffrey Scoutheeten
R. Cancelliere
Patrick Gallinari
8
66
0
04 Feb 2021
Transforming Multi-Conditioned Generation from Meaning Representation
Transforming Multi-Conditioned Generation from Meaning Representation
Joosung Lee
11
3
0
12 Jan 2021
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural
  Language Inference
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference
Ondrej Dusek
Zdeněk Kasner
22
64
0
21 Nov 2020
DORB: Dynamically Optimizing Multiple Rewards with Bandits
DORB: Dynamically Optimizing Multiple Rewards with Bandits
Ramakanth Pasunuru
Han Guo
Mohit Bansal
OffRL
27
6
0
15 Nov 2020
Paraphrase Generation with Latent Bag of Words
Paraphrase Generation with Latent Bag of Words
Yao Fu
Yansong Feng
John P. Cunningham
BDL
25
91
0
07 Jan 2020
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
259
1,896
0
10 Jan 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Z. Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
716
6,743
0
26 Sep 2016
Effective Approaches to Attention-based Neural Machine Translation
Effective Approaches to Attention-based Neural Machine Translation
Thang Luong
Hieu H. Pham
Christopher D. Manning
218
7,923
0
17 Aug 2015
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