---
title: "INLG 2020 — accepted papers — Elamur Research"
description: "INLG 2020 — accepted papers: 1 paper in the Elamur Research library (Dublin, Ireland), with our summaries, ranked by citations."
canonical: "https://research.elamur.ai/free/en/venues/inlg/2020/"
---
[Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/inlg/2020/)

[home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [INLG](https://md.research.elamur.ai/free/en/venues/inlg/) / 2020

# INLG 2020 — accepted papers

INLG 2020 is the 2020 edition of the International Natural Language Generation Conference (INLG), held in Dublin, Ireland, December 2020 (publisher: Association for Computational Linguistics). The ACL Anthology lists 46 papers of it; our library holds 1 with our summaries. Below: the most cited papers, every accepted paper, and ours with their topics, authors and institutions.

📍 Dublin, [Ireland](https://md.research.elamur.ai/free/en/countries/ireland/) · 🗓 December 2020

[**46** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/inlg/2020/#works) · [**30** citations of these works](https://md.research.elamur.ai/free/en/venues/inlg/2020/#works)

## Most cited papers

By their OpenAlex citations; a paper with our summary links to its page here, the others to the original.

1. **[Text-to-Text Pre-Training for Data-to-Text Tasks ↗](https://aclanthology.org/2020.inlg-1.14/)**Mihir Kale, Abhinav Rastogi*138 citations*
2. **[Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions ↗](https://aclanthology.org/2020.inlg-1.23/)**David M. Howcroft, Anya Belz, Miruna-Adriana Clinciu et al.*127 citations*
3. **[Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model ↗](https://aclanthology.org/2020.inlg-1.20/)**Jason Obeid, Enamul Hoque*91 citations*
4. **[RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation ↗](https://aclanthology.org/2020.inlg-1.4/)**Michał Bień, Michał Gilski, Martyna Maciejewska et al.*56 citations*
5. **[Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference ↗](https://aclanthology.org/2020.inlg-1.19/)**Ondřej Dušek, Zdeněk Kasner*48 citations*
6. **[Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing ↗](https://aclanthology.org/2020.inlg-1.24/)**Anya Belz, Simon Mille, David M. Howcroft*45 citations*
7. **[A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems ↗](https://aclanthology.org/2020.inlg-1.22/)**Craig Thomson, Ehud Reiter*35 citations*
8. **[ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis ↗](https://aclanthology.org/2020.inlg-1.44/)**Qingyun Wang, Qi Zeng, Lifu Huang et al.*34 citations*
9. **[Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer ↗](https://aclanthology.org/2020.inlg-1.25/)**Joosung Lee*32 citations*
10. **[Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems ↗](https://aclanthology.org/2020.inlg-1.46/)**Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim et al.*22 citations*

## All accepted papers (46)

The most cited first; 1 with our summary link to their page here, the others to the original.

1. **[Text-to-Text Pre-Training for Data-to-Text Tasks ↗](https://aclanthology.org/2020.inlg-1.14/)**Mihir Kale, Abhinav Rastogi*138 citations*
2. **[Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions ↗](https://aclanthology.org/2020.inlg-1.23/)**David M. Howcroft, Anya Belz, Miruna-Adriana Clinciu et al.*127 citations*
3. **[Chart-to-Text: Generating Natural Language Descriptions for Charts by Adapting the Transformer Model ↗](https://aclanthology.org/2020.inlg-1.20/)**Jason Obeid, Enamul Hoque*91 citations*
4. **[RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation ↗](https://aclanthology.org/2020.inlg-1.4/)**Michał Bień, Michał Gilski, Martyna Maciejewska et al.*56 citations*
5. **[Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference ↗](https://aclanthology.org/2020.inlg-1.19/)**Ondřej Dušek, Zdeněk Kasner*48 citations*
6. **[Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing ↗](https://aclanthology.org/2020.inlg-1.24/)**Anya Belz, Simon Mille, David M. Howcroft*45 citations*
7. **[A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems ↗](https://aclanthology.org/2020.inlg-1.22/)**Craig Thomson, Ehud Reiter*35 citations*
8. **[ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis ↗](https://aclanthology.org/2020.inlg-1.44/)**Qingyun Wang, Qi Zeng, Lifu Huang et al.*34 citations*
9. **[Stable Style Transformer: Delete and Generate Approach with Encoder-Decoder for Text Style Transfer ↗](https://aclanthology.org/2020.inlg-1.25/)**Joosung Lee*32 citations*
10. **[Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems ↗](https://aclanthology.org/2020.inlg-1.46/)**Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim et al.*22 citations*
11. **[Reducing Non-Normative Text Generation from Language Models ↗](https://aclanthology.org/2020.inlg-1.43/)**Xiangyu Peng, Siyan Li, Spencer Frazier et al.*20 citations*
12. **[Assessing Discourse Relations in Language Generation from GPT-2](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/)**Wei-Jen Ko, Junyi Jessy Li*18 citations · our summary*
13. **[Data-to-Text Generation with Iterative Text Editing ↗](https://aclanthology.org/2020.inlg-1.9/)**Zdeněk Kasner, Ondřej Dušek*17 citations*
14. **[Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders ↗](https://aclanthology.org/2020.inlg-1.42/)**Nikola I. Nikolov, Eric Malmi, Curtis Northcutt et al.*16 citations*
15. **[Schema-Guided Natural Language Generation ↗](https://aclanthology.org/2020.inlg-1.35/)**Yuheng Du, Shereen Oraby, Vittorio Perera et al.*13 citations*
16. **[Machine Translation Pre-training for Data-to-Text Generation - A Case Study in Czech ↗](https://aclanthology.org/2020.inlg-1.13/)**Mihir Kale, Scott Roy*12 citations*
17. **[Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations ↗](https://aclanthology.org/2020.inlg-1.3/)**David Beauchemin, Nicolas Garneau, Eve Gaumond et al.*11 citations*
18. **[ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG ↗](https://aclanthology.org/2020.inlg-1.29/)**Anya Belz, Shubham Agarwal, Anastasia Shimorina et al.*11 citations*
19. **[Transformer based Natural Language Generation for Question-Answering ↗](https://aclanthology.org/2020.inlg-1.41/)**Imen Akermi, Johannes Heinecke, Frédéric Herledan*11 citations*
20. **[Controlled Text Generation with Adversarial Learning ↗](https://aclanthology.org/2020.inlg-1.5/)**Federico Betti, Giorgia Ramponi, Massimo Piccardi*9 citations*
21. **[What BERT Sees: Cross-Modal Transfer for Visual Question Generation ↗](https://aclanthology.org/2020.inlg-1.39/)**Thomas Scialom, Patrick Bordes, Paul-Alexis Dray et al.*9 citations*
22. **[When an Image Tells a Story: The Role of Visual and Semantic Information for Generating Paragraph Descriptions ↗](https://aclanthology.org/2020.inlg-1.40/)**Nikolai Ilinykh, Simon Dobnik*9 citations*
23. **[Shared Task on Evaluating Accuracy ↗](https://aclanthology.org/2020.inlg-1.28/)**Ehud Reiter, Craig Thomson*8 citations*
24. **[Towards Generating Query to Perform Query Focused Abstractive Summarization using Pre-trained Model ↗](https://aclanthology.org/2020.inlg-1.11/)**Deen Mohammad Abdullah, Yllias Chali*8 citations*
25. **[BERT-Based Simplification of Japanese Sentence-Ending Predicates in Descriptive Text ↗](https://aclanthology.org/2020.inlg-1.31/)**Taichi Kato, Rei Miyata, Satoshi Sato*7 citations*

[See all 46 papers in INLG 2020 — accepted papers →](https://md.research.elamur.ai/free/en/venues/inlg/2020/papers/)

## Papers with our summary in our library (1)

The most cited first (OpenAlex citations plus our library's).

1. **[Assessing Discourse Relations in Language Generation from GPT-2](https://md.research.elamur.ai/free/en/papers/ko-2020-assessing-discourse-relations-language-generation/) [International Natural Language Generation Conference (INLG)](https://md.research.elamur.ai/free/en/venues/inlg/)**Wei-Jen Ko, Junyi Jessy Li*2020 · 30 citations*

## Top topics

Topics of its works in our library, with the number of works on each.

[Discourse analysis (1)](https://md.research.elamur.ai/free/en/topics/discourse-analysis/) · [Language models & pretraining (1)](https://md.research.elamur.ai/free/en/topics/language-models/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/)

## Fields

[Arts and Humanities (1)](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science (1)](https://md.research.elamur.ai/free/en/shelves/computer-science/)

## Top authors

Authors with a page who published here most often: their works here, and the citations of those works.

[🧑‍🔬**Junyi Jessy Li**1 work here · 30 citations](https://md.research.elamur.ai/free/en/authors/junyi-jessy-li/) · [🧑‍🔬**Wei-Jen Ko**1 work here · 30 citations](https://md.research.elamur.ai/free/en/authors/wei-jen-ko/)

## Top institutions

Institutions on the bylines of its works here, by the number of works.

[🎓**The University of Texas at Austin** Austin · United States 1 work here](https://md.research.elamur.ai/free/en/universities/the-university-of-texas-at-austin/)

Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library.

- [← previous INLG 2019](https://md.research.elamur.ai/free/en/venues/inlg/2019/)
- [next → INLG 2021](https://md.research.elamur.ai/free/en/venues/inlg/2021/)
- [↑ back to INLG](https://md.research.elamur.ai/free/en/venues/inlg/)
