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Survey of the State of the Art in Natural Language Generation: Core
  tasks, applications and evaluation

Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation

29 March 2017
Albert Gatt
E. Krahmer
    LM&MA
    ELM
ArXivPDFHTML

Papers citing "Survey of the State of the Art in Natural Language Generation: Core tasks, applications and evaluation"

28 / 78 papers shown
Title
Exploring Transformers in Natural Language Generation: GPT, BERT, and
  XLNet
Exploring Transformers in Natural Language Generation: GPT, BERT, and XLNet
M. O. Topal
Anil Bas
Imke van Heerden
LLMAG
AI4CE
24
88
0
16 Feb 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
Data-to-text Generation with Macro Planning
Data-to-text Generation with Macro Planning
Ratish Puduppully
Mirella Lapata
55
73
0
04 Feb 2021
The GEM Benchmark: Natural Language Generation, its Evaluation and
  Metrics
The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics
Sebastian Gehrmann
Tosin P. Adewumi
Karmanya Aggarwal
Pawan Sasanka Ammanamanchi
Aremu Anuoluwapo
...
Nishant Subramani
Wei-ping Xu
Diyi Yang
Akhila Yerukola
Jiawei Zhou
VLM
248
285
0
02 Feb 2021
Diagnostic Captioning: A Survey
Diagnostic Captioning: A Survey
John Pavlopoulos
Vasiliki Kougia
Ion Androutsopoulos
D. Papamichail
3DV
MedIm
89
26
0
18 Jan 2021
Spoken Language Interaction with Robots: Research Issues and
  Recommendations, Report from the NSF Future Directions Workshop
Spoken Language Interaction with Robots: Research Issues and Recommendations, Report from the NSF Future Directions Workshop
M. Marge
C. Espy-Wilson
Roger K. Moore
24
78
0
11 Nov 2020
Text Style Transfer: A Review and Experimental Evaluation
Text Style Transfer: A Review and Experimental Evaluation
Zhiqiang Hu
Roy Ka-Wei Lee
Charu C. Aggarwal
Aston Zhang
AI4TS
42
26
0
24 Oct 2020
PARENTing via Model-Agnostic Reinforcement Learning to Correct
  Pathological Behaviors in Data-to-Text Generation
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation
Clément Rebuffel
Laure Soulier
Geoffrey Scoutheeten
Patrick Gallinari
6
9
0
21 Oct 2020
GLUCOSE: GeneraLized and COntextualized Story Explanations
GLUCOSE: GeneraLized and COntextualized Story Explanations
N. Mostafazadeh
Aditya Kalyanpur
Lori Moon
David W. Buchanan
Lauren Berkowitz
Or Biran
Jennifer Chu-Carroll
19
120
0
16 Sep 2020
A Survey of Evaluation Metrics Used for NLG Systems
A Survey of Evaluation Metrics Used for NLG Systems
Ananya B. Sai
Akash Kumar Mohankumar
Mitesh M. Khapra
ELM
25
228
0
27 Aug 2020
Toward Forgetting-Sensitive Referring Expression Generationfor
  Integrated Robot Architectures
Toward Forgetting-Sensitive Referring Expression Generationfor Integrated Robot Architectures
T. Williams
Torin Johnson
Will Culpepper
Kellyn Larson
7
6
0
16 Jul 2020
Investigating Pretrained Language Models for Graph-to-Text Generation
Investigating Pretrained Language Models for Graph-to-Text Generation
Leonardo F. R. Ribeiro
Martin Schmitt
Hinrich Schütze
Iryna Gurevych
19
215
0
16 Jul 2020
Fact-based Text Editing
Fact-based Text Editing
Hayate Iso
Chao Qiao
Hang Li
KELM
26
23
0
02 Jul 2020
Evaluation of Text Generation: A Survey
Evaluation of Text Generation: A Survey
Asli Celikyilmaz
Elizabeth Clark
Jianfeng Gao
ELM
LM&MA
19
376
0
26 Jun 2020
Going Beneath the Surface: Evaluating Image Captioning for
  Grammaticality, Truthfulness and Diversity
Going Beneath the Surface: Evaluating Image Captioning for Grammaticality, Truthfulness and Diversity
Huiyuan Xie
Tom Sherborne
A. Kuhnle
Ann A. Copestake
DiffM
17
9
0
19 Dec 2019
Natural Language Generation Challenges for Explainable AI
Natural Language Generation Challenges for Explainable AI
Ehud Reiter
13
39
0
20 Nov 2019
Read, Attend and Comment: A Deep Architecture for Automatic News Comment
  Generation
Read, Attend and Comment: A Deep Architecture for Automatic News Comment Generation
Ze Yang
Can Xu
Wei Yu Wu
Zhoujun Li
3DV
13
29
0
26 Sep 2019
Linguistic Versus Latent Relations for Modeling Coherent Flow in
  Paragraphs
Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs
Dongyeop Kang
Hiroaki Hayashi
A. Black
Eduard H. Hovy
18
8
0
30 Aug 2019
Explainable Fact Checking with Probabilistic Answer Set Programming
Explainable Fact Checking with Probabilistic Answer Set Programming
N. Ahmadi
Joohyung Lee
Paolo Papotti
Mohammed Saeed
14
54
0
21 Jun 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
18
194
0
03 Jun 2019
Evaluating the State-of-the-Art of End-to-End Natural Language
  Generation: The E2E NLG Challenge
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
ELM
32
231
0
23 Jan 2019
Judge the Judges: A Large-Scale Evaluation Study of Neural Language
  Models for Online Review Generation
Judge the Judges: A Large-Scale Evaluation Study of Neural Language Models for Online Review Generation
Cristina Garbacea
Samuel Carton
Shiyan Yan
Qiaozhu Mei
ELM
17
29
0
02 Jan 2019
Sequence-to-Sequence Models for Data-to-Text Natural Language
  Generation: Word- vs. Character-based Processing and Output Diversity
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld
Sabrina Jenne
Ngoc Thang Vu
AIMat
33
24
0
11 Oct 2018
Findings of the E2E NLG Challenge
Findings of the E2E NLG Challenge
Ondrej Dusek
Jekaterina Novikova
Verena Rieser
18
115
0
02 Oct 2018
Making effective use of healthcare data using data-to-text technology
Making effective use of healthcare data using data-to-text technology
Steffen Pauws
Albert Gatt
E. Krahmer
Ehud Reiter
11
30
0
10 Aug 2018
NeuralREG: An end-to-end approach to referring expression generation
NeuralREG: An end-to-end approach to referring expression generation
Thiago Castro Ferreira
Diego Moussallem
Ákos Kádár
Sander Wubben
Emiel Krahmer
3DV
27
38
0
21 May 2018
RankME: Reliable Human Ratings for Natural Language Generation
RankME: Reliable Human Ratings for Natural Language Generation
Jekaterina Novikova
Ondrej Dusek
Verena Rieser
ALM
11
108
0
15 Mar 2018
A Survey on Deep Learning Toolkits and Libraries for Intelligent User
  Interfaces
A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces
Jan Zacharias
Michael Barz
Daniel Sonntag
VLM
19
33
0
13 Mar 2018
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