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Neural data-to-text generation: A comparison between pipeline and
  end-to-end architectures
v1v2 (latest)

Neural data-to-text generation: A comparison between pipeline and end-to-end architectures

Conference on Empirical Methods in Natural Language Processing (EMNLP), 2019
23 August 2019
Thiago Castro Ferreira
Chris van der Lee
Emiel van Miltenburg
Emiel Krahmer
ArXiv (abs)PDFHTML

Papers citing "Neural data-to-text generation: A comparison between pipeline and end-to-end architectures"

50 / 66 papers shown
Seeing isn't Hearing: Benchmarking Vision Language Models at Interpreting Spectrograms
Seeing isn't Hearing: Benchmarking Vision Language Models at Interpreting Spectrograms
Tyler Loakman
Joseph James
Chenghua Lin
157
0
0
17 Nov 2025
Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs
Ta-G-T: Subjectivity Capture in Table to Text Generation via RDF Graphs
Ronak Upasham
Tathagata Dey
Pushpak Bhattacharyya
160
0
0
25 Jul 2025
Natural Language Generation
Natural Language GenerationTheoretical Issues In Natural Language Processing (TINLP), 2018
Emiel van Miltenburg
Chenghua Lin
345
2
0
20 Mar 2025
Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metrics
Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity MetricsIberoamerican Conference on Knowledge Graphs and Semantic Web (IKGSW), 2025
Hussam Ghanem
C. Cruz
456
1
0
07 Feb 2025
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models
AmalREC: A Dataset for Relation Extraction and Classification Leveraging Amalgamation of Large Language Models
Mansi
Pranshu Pandya
Mahek Bhavesh Vora
Soumya Bharadwaj
Ashish Anand
223
0
0
31 Dec 2024
GraSAME: Injecting Token-Level Structural Information to Pretrained
  Language Models via Graph-guided Self-Attention Mechanism
GraSAME: Injecting Token-Level Structural Information to Pretrained Language Models via Graph-guided Self-Attention Mechanism
Shuzhou Yuan
Michael Farber
251
2
0
10 Apr 2024
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource
  Agglutinative Data-to-Text Generation
Triples-to-isiXhosa (T2X): Addressing the Challenges of Low-Resource Agglutinative Data-to-Text GenerationInternational Conference on Language Resources and Evaluation (LREC), 2024
Francois Meyer
Jan Buys
201
5
0
12 Mar 2024
A Systematic Review of Data-to-Text NLG
A Systematic Review of Data-to-Text NLG
Chinonso Osuji
Thiago Castro Ferreira
Brian Davis
392
5
0
13 Feb 2024
A Comparative Analysis of Conversational Large Language Models in
  Knowledge-Based Text Generation
A Comparative Analysis of Conversational Large Language Models in Knowledge-Based Text Generation
Phillip Schneider
Manuel Klettner
Elena Simperl
Florian Matthes
246
10
0
02 Feb 2024
Self-training from Self-memory in Data-to-text Generation
Self-training from Self-memory in Data-to-text Generation
Hoang-Thang Ta
220
0
0
19 Jan 2024
AI Hallucinations: A Misnomer Worth Clarifying
AI Hallucinations: A Misnomer Worth ClarifyingConference on Algebraic Informatics (CAI), 2024
Negar Maleki
Balaji Padmanabhan
Kaushik Dutta
496
114
0
09 Jan 2024
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 LearningAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Alexander Hanbo Li
Mingyue Shang
Evangelia Spiliopoulou
Jie Ma
Patrick Ng
...
William Yang Wang
Kathleen McKeown
Vittorio Castelli
Dan Roth
Bing Xiang
262
4
0
10 Aug 2023
Models of reference production: How do they withstand the test of time?
Models of reference production: How do they withstand the test of time?International Conference on Natural Language Generation (INLG), 2023
F. Same
Guanyi Chen
Kees van Deemter
119
5
0
27 Jul 2023
Knowledge Graph for NLG in the context of conversational agents
Knowledge Graph for NLG in the context of conversational agents
Hussam Ghanem
Massinissa Atmani
C. Cruz
288
1
0
04 Jul 2023
AUGUST: an Automatic Generation Understudy for Synthesizing
  Conversational Recommendation Datasets
AUGUST: an Automatic Generation Understudy for Synthesizing Conversational Recommendation DatasetsAnnual Meeting of the Association for Computational Linguistics (ACL), 2023
Yu Lu
Junwei Bao
Zichen Ma
Xiaoguang Han
Youzheng Wu
Shuguang Cui
Xiaodong He
180
6
0
16 Jun 2023
Soft Prompt Decoding for Multilingual Dense Retrieval
Soft Prompt Decoding for Multilingual Dense RetrievalAnnual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2023
Zhiqi Huang
Hansi Zeng
Hamed Zamani
James Allan
RALM
266
17
0
15 May 2023
Learning from Multiple Sources for Data-to-Text and Text-to-Data
Learning from Multiple Sources for Data-to-Text and Text-to-DataInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
S. Duong
Alberto Lumbreras
Mike Gartrell
Patrick Gallinari
220
3
0
22 Feb 2023
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free
  Language Models
ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language ModelsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Jonas Belouadi
Steffen Eger
366
32
0
20 Dec 2022
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from
  Cognitive Perspective
MOCHA: A Multi-Task Training Approach for Coherent Text Generation from Cognitive PerspectiveConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Zhe Hu
Hou Pong Chan
Lifu Huang
361
8
0
26 Oct 2022
IFDID: Information Filter upon Diversity-Improved Decoding for
  Diversity-Faithfulness Tradeoff in NLG
IFDID: Information Filter upon Diversity-Improved Decoding for Diversity-Faithfulness Tradeoff in NLG
Han Meng
Xiaosong He
Zexing Chen
F. Zhou
399
1
0
25 Oct 2022
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP), 2022
Jiannan Xiang
Zhengzhong Liu
Yucheng Zhou
Eric P. Xing
Zhiting Hu
392
17
0
09 Oct 2022
BLAB Reporter: Automated journalism covering the Blue Amazon
BLAB Reporter: Automated journalism covering the Blue AmazonInternational Conference on Natural Language Generation (INLG), 2022
Yan Sym
João Gabriel Moura Campos
Fabio Gagliardi Cozman
123
0
0
08 Oct 2022
Comparing Computational Architectures for Automated Journalism
Comparing Computational Architectures for Automated Journalism
Yan Sym
João Gabriel Moura Campos
M. M. José
Fabio Gagliardi Cozman
142
0
0
08 Oct 2022
State-of-the-art generalisation research in NLP: A taxonomy and review
State-of-the-art generalisation research in NLP: A taxonomy and reviewNature Machine Intelligence (Nat. Mach. Intell.), 2022
Dieuwke Hupkes
Mario Giulianelli
Verna Dankers
Mikel Artetxe
Yanai Elazar
...
Leila Khalatbari
Maria Ryskina
Rita Frieske
Robert Bamler
Zhijing Jin
690
139
0
06 Oct 2022
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about
  the Brazilian Maritime Territory
The BLue Amazon Brain (BLAB): A Modular Architecture of Services about the Brazilian Maritime Territory
Paulo Pirozelli
Ais B. R. Castro
Ana Luiza C. de Oliveira
A. Oliveira
Flávio N. Caccao
...
A. H. R. Costa
A. Brandão
Denis Deratani Mauá
Fabio Gagliardi Cozman
S. M. Peres
146
2
0
06 Sep 2022
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
329
12
0
25 Jul 2022
Neural Data-to-Text Generation Based on Small Datasets: Comparing the
  Added Value of Two Semi-Supervised Learning Approaches on Top of a Large
  Language Model
Neural Data-to-Text Generation Based on Small Datasets: Comparing the Added Value of Two Semi-Supervised Learning Approaches on Top of a Large Language ModelComputational Linguistics (CL), 2022
Chris van der Lee
Thiago Castro Ferreira
Chris Emmery
Travis J. Wiltshire
Emiel Krahmer
240
2
0
14 Jul 2022
Towards Neural Numeric-To-Text Generation From Temporal Personal Health
  Data
Towards Neural Numeric-To-Text Generation From Temporal Personal Health Data
Jon Harris
Mohammed J Zaki
AI4TS
239
2
0
11 Jul 2022
Syntax Controlled Knowledge Graph-to-Text Generation with Order and
  Semantic Consistency
Syntax Controlled Knowledge Graph-to-Text Generation with Order and Semantic Consistency
Jin Liu
Chongfeng Fan
Feng Zhou
Huijuan Xu
174
7
0
02 Jul 2022
Neural Pipeline for Zero-Shot Data-to-Text Generation
Neural Pipeline for Zero-Shot Data-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zdeněk Kasner
Ondrej Dusek
195
39
0
30 Mar 2022
PLANET: Dynamic Content Planning in Autoregressive Transformers for
  Long-form Text Generation
PLANET: Dynamic Content Planning in Autoregressive Transformers for Long-form Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
Zhe Hu
Hou Pong Chan
Jiachen Liu
Xinyan Xiao
Hua Wu
Lifu Huang
229
47
0
17 Mar 2022
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression
  Generation Systems
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation SystemsAnnual Meeting of the Association for Computational Linguistics (ACL), 2022
F. Same
Guanyi Chen
Kees van Deemter
160
13
0
15 Mar 2022
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Recent Advances in Neural Text Generation: A Task-Agnostic Survey
Chen Tang
Frank Guerin
Chenghua Lin
AI4CEOOD
443
20
0
06 Mar 2022
A Survey of Controllable Text Generation using Transformer-based
  Pre-trained Language Models
A Survey of Controllable Text Generation using Transformer-based Pre-trained Language ModelsACM Computing Surveys (ACM CSUR), 2022
Hanqing Zhang
Haolin Song
Shaoyu Li
Ming Zhou
Dawei Song
654
315
0
14 Jan 2022
Triples-to-Text Generation with Reinforcement Learning Based
  Graph-augmented Neural Networks
Triples-to-Text Generation with Reinforcement Learning Based Graph-augmented Neural Networks
Hanning Gao
Lingfei Wu
Hongyun Zhang
Zhihua Wei
Po Hu
Fangli Xu
Bo Long
272
1
0
20 Nov 2021
Improving Compositional Generalization with Self-Training for
  Data-to-Text Generation
Improving Compositional Generalization with Self-Training for Data-to-Text Generation
Sanket Vaibhav Mehta
J. Rao
Yi Tay
Mihir Kale
Ankur P. Parikh
Emma Strubell
AI4CE
283
34
0
16 Oct 2021
Plan-then-Generate: Controlled Data-to-Text Generation via Planning
Plan-then-Generate: Controlled Data-to-Text Generation via PlanningConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Yixuan Su
David Vandyke
Sihui Wang
Yimai Fang
Nigel Collier
274
91
0
31 Aug 2021
What can Neural Referential Form Selectors Learn?
What can Neural Referential Form Selectors Learn?
Guanyi Chen
F. Same
Kees van Deemter
161
6
0
15 Aug 2021
Generating Diverse Descriptions from Semantic Graphs
Generating Diverse Descriptions from Semantic GraphsInternational Conference on Natural Language Generation (INLG), 2021
Jiuzhou Han
Daniel Beck
Trevor Cohn
144
1
0
12 Aug 2021
JointGT: Graph-Text Joint Representation Learning for Text Generation
  from Knowledge Graphs
JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge GraphsFindings (Findings), 2021
Pei Ke
Haozhe Ji
Yuanyuan Ran
Xin Cui
Liwei Wang
Linfeng Song
Xiaoyan Zhu
Shiyu Huang
284
119
0
19 Jun 2021
AGGGEN: Ordering and Aggregating while Generating
AGGGEN: Ordering and Aggregating while GeneratingAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xinnuo Xu
Ondrej Dusek
Verena Rieser
Ioannis Konstas
207
15
0
10 Jun 2021
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text
  Generation
DYPLOC: Dynamic Planning of Content Using Mixed Language Models for Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Xinyu Hua
Ashwin Sreevatsa
Lu Wang
178
23
0
01 Jun 2021
Stage-wise Fine-tuning for Graph-to-Text Generation
Stage-wise Fine-tuning for Graph-to-Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021
Qingyun Wang
Semih Yavuz
Victoria Lin
Heng Ji
Nazneen Rajani
244
26
0
17 May 2021
R2D2: Relational Text Decoding with Transformers
R2D2: Relational Text Decoding with Transformers
Aryan Arbabi
Mingqiu Wang
Laurent El Shafey
Nan Du
Izhak Shafran
163
1
0
10 May 2021
Structural Adapters in Pretrained Language Models for AMR-to-text
  Generation
Structural Adapters in Pretrained Language Models for AMR-to-text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021
Leonardo F. R. Ribeiro
Yue Zhang
Iryna Gurevych
246
80
0
16 Mar 2021
Towards Faithfulness in Open Domain Table-to-text Generation from an
  Entity-centric View
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric ViewAAAI Conference on Artificial Intelligence (AAAI), 2021
Tianyu Liu
Xin Zheng
Baobao Chang
Zhifang Sui
372
37
0
17 Feb 2021
Controlling Hallucinations at Word Level in Data-to-Text Generation
Controlling Hallucinations at Word Level in Data-to-Text GenerationData mining and knowledge discovery (DMKD), 2021
Clément Rebuffel
Marco Roberti
Laure Soulier
Geoffrey Scoutheeten
R. Cancelliere
Patrick Gallinari
315
74
0
04 Feb 2021
Data-to-text Generation with Macro Planning
Data-to-text Generation with Macro PlanningTransactions of the Association for Computational Linguistics (TACL), 2021
Ratish Puduppully
Mirella Lapata
257
84
0
04 Feb 2021
The jsRealB Text Realizer: Organization and Use Cases -- Revised version
The jsRealB Text Realizer: Organization and Use Cases -- Revised version
G. Lapalme
172
3
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31 Dec 2020
Evaluating Semantic Accuracy of Data-to-Text Generation with Natural
  Language Inference
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Ondrej Dusek
Zdeněk Kasner
286
75
0
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