📰 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.

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 ↗Mihir Kale, Abhinav Rastogi138 citations
2. Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions ↗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 ↗Jason Obeid, Enamul Hoque91 citations
4. RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation ↗Michał Bień, Michał Gilski, Martyna Maciejewska et al.56 citations
5. Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference ↗Ondřej Dušek, Zdeněk Kasner48 citations
6. Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing ↗Anya Belz, Simon Mille, David M. Howcroft45 citations
7. A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems ↗Craig Thomson, Ehud Reiter35 citations
8. ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis ↗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 ↗Joosung Lee32 citations
10. Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems ↗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 ↗Mihir Kale, Abhinav Rastogi138 citations
2. Twenty Years of Confusion in Human Evaluation: NLG Needs Evaluation Sheets and Standardised Definitions ↗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 ↗Jason Obeid, Enamul Hoque91 citations
4. RecipeNLG: A Cooking Recipes Dataset for Semi-Structured Text Generation ↗Michał Bień, Michał Gilski, Martyna Maciejewska et al.56 citations
5. Evaluating Semantic Accuracy of Data-to-Text Generation with Natural Language Inference ↗Ondřej Dušek, Zdeněk Kasner48 citations
6. Disentangling the Properties of Human Evaluation Methods: A Classification System to Support Comparability, Meta-Evaluation and Reproducibility Testing ↗Anya Belz, Simon Mille, David M. Howcroft45 citations
7. A Gold Standard Methodology for Evaluating Accuracy in Data-To-Text Systems ↗Craig Thomson, Ehud Reiter35 citations
8. ReviewRobot: Explainable Paper Review Generation based on Knowledge Synthesis ↗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 ↗Joosung Lee32 citations
10. Policy-Driven Neural Response Generation for Knowledge-Grounded Dialog Systems ↗Behnam Hedayatnia, Karthik Gopalakrishnan, Seokhwan Kim et al.22 citations
11. Reducing Non-Normative Text Generation from Language Models ↗Xiangyu Peng, Siyan Li, Spencer Frazier et al.20 citations
12. Assessing Discourse Relations in Language Generation from GPT-2Wei-Jen Ko, Junyi Jessy Li18 citations · our summary
13. Data-to-Text Generation with Iterative Text Editing ↗Zdeněk Kasner, Ondřej Dušek17 citations
14. Rapformer: Conditional Rap Lyrics Generation with Denoising Autoencoders ↗Nikola I. Nikolov, Eric Malmi, Curtis Northcutt et al.16 citations
15. Schema-Guided Natural Language Generation ↗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 ↗Mihir Kale, Scott Roy12 citations
17. Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations ↗David Beauchemin, Nicolas Garneau, Eve Gaumond et al.11 citations
18. ReproGen: Proposal for a Shared Task on Reproducibility of Human Evaluations in NLG ↗Anya Belz, Shubham Agarwal, Anastasia Shimorina et al.11 citations
19. Transformer based Natural Language Generation for Question-Answering ↗Imen Akermi, Johannes Heinecke, Frédéric Herledan11 citations
20. Controlled Text Generation with Adversarial Learning ↗Federico Betti, Giorgia Ramponi, Massimo Piccardi9 citations
21. What BERT Sees: Cross-Modal Transfer for Visual Question Generation ↗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 ↗Nikolai Ilinykh, Simon Dobnik9 citations
23. Shared Task on Evaluating Accuracy ↗Ehud Reiter, Craig Thomson8 citations
24. Towards Generating Query to Perform Query Focused Abstractive Summarization using Pre-trained Model ↗Deen Mohammad Abdullah, Yllias Chali8 citations
25. BERT-Based Simplification of Japanese Sentence-Ending Predicates in Descriptive Text ↗Taichi Kato, Rei Miyata, Satoshi Sato7 citations

See all 46 papers in INLG 2020 — accepted 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-2International Natural Language Generation Conference (INLG)Wei-Jen Ko, Junyi Jessy Li2020 · 30 citations

🧭 Top topics

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

🧵Discourse analysis (1)🧠Language models & pretraining (1)✍️Text generation (1)

📚 Fields

🎭Arts and Humanities (1)🖥️Computer Science (1)

🧑‍🔬 Top authors

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

🏛️ Top institutions

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

🎓The University of Texas at AustinAustin · United States1 work here

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

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This page in Markdown → https://md.research.elamur.ai/free/en/venues/inlg/2020/