Findings of the E2E NLG Challenge

2 October 2018

Jekaterina Novikova

Papers citing "Findings of the E2E NLG Challenge"

21 / 21 papers shown

Title
Factual Inconsistency in Data-to-Text Generation Scales Exponentially with LLM Size: A Statistical Validation Joy Mahapatra Soumyajit Roy Utpal Garain HILM ALM 88 0 0 17 Feb 2025
Impact of Model Size on Fine-tuned LLM Performance in Data-to-Text Generation: A State-of-the-Art Investigation Joy Mahapatra Utpal Garain 45 8 0 19 Jul 2024
Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection Weijia Xu Sweta Agrawal Eleftheria Briakou Marianna J. Martindale Marine Carpuat HILM 27 47 0 18 Jan 2023
Comparing Computational Architectures for Automated Journalism Yan Sym João Gabriel Moura Campos M. M. José Fabio Gagliardi Cozman 26 0 0 08 Oct 2022
Innovations in Neural Data-to-text Generation: A Survey Mandar Sharma Ajay K. Gogineni Naren Ramakrishnan 32 10 0 25 Jul 2022
The Authenticity Gap in Human Evaluation Kawin Ethayarajh Dan Jurafsky 87 24 0 24 May 2022
Non-neural Models Matter: A Re-evaluation of Neural Referring Expression Generation Systems F. Same Guanyi Chen Kees van Deemter 20 12 0 15 Mar 2022
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 38 30 0 16 Oct 2021
Retrieve, Caption, Generate: Visual Grounding for Enhancing Commonsense in Text Generation Models Steven Y. Feng Kevin Lu Zhuofu Tao Malihe Alikhani Teruko Mitamura Eduard H. Hovy Varun Gangal LRM 38 13 0 08 Sep 2021
Underreporting of errors in NLG output, and what to do about it Emiel van Miltenburg Miruna Clinciu Ondrej Dusek Dimitra Gkatzia Stephanie Inglis ... Saad Mahamood Emma Manning S. Schoch Craig Thomson Luou Wen 27 38 0 02 Aug 2021
A Survey of Data Augmentation Approaches for NLP Steven Y. Feng Varun Gangal Jason W. Wei Sarath Chandar Soroush Vosoughi Teruko Mitamura Eduard H. Hovy AIMat 42 799 0 07 May 2021
Learning to Reason for Text Generation from Scientific Tables N. Moosavi Andreas Rucklé Dan Roth Iryna Gurevych LMTD LRM 24 20 0 16 Apr 2021
Structural Information Preserving for Graph-to-Text Generation Linfeng Song Ante Wang Jinsong Su Yue Zhang Kun Xu Yubin Ge Dong Yu 22 52 0 12 Feb 2021
A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems Craig Thomson Ehud Reiter 22 52 0 08 Nov 2020
Knowledge Graph Based Synthetic Corpus Generation for Knowledge-Enhanced Language Model Pre-training Oshin Agarwal Heming Ge Siamak Shakeri Rami Al-Rfou 16 38 0 23 Oct 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 19 377 0 26 Jun 2020
A Generative Model for Joint Natural Language Understanding and Generation Bo-Hsiang Tseng Jianpeng Cheng Yimai Fang David Vandyke 19 22 0 12 Jun 2020
Neural Data-to-Text Generation via Jointly Learning the Segmentation and Correspondence Xiaoyu Shen Ernie Chang Hui Su Jie Zhou Dietrich Klakow 40 49 0 03 May 2020
Semantic Noise Matters for Neural Natural Language Generation Ondrej Dusek David M. Howcroft Verena Rieser 40 117 0 10 Nov 2019
Evaluating the State-of-the-Art of End-to-End Natural Language Generation: The E2E NLG Challenge Ondrej Dusek Jekaterina Novikova Verena Rieser ELM 46 232 0 23 Jan 2019
End-to-End Content and Plan Selection for Data-to-Text Generation Sebastian Gehrmann Falcon Z. Dai H. Elder Alexander M. Rush 28 70 0 10 Oct 2018