📰 INLG 2020: all accepted papers

46 papers · the most cited first · ← INLG 2020

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
26. Neural NLG for Methodius: From RST Meaning Representations to Texts ↗Symon Stevens-Guille, Aleksandre Maskharashvili, Amy Isard et al.7 citations
27. The CACAPO Dataset: A Multilingual, Multi-Domain Dataset for Neural Pipeline and End-to-End Data-to-Text Generation ↗Chris van der Lee, Chris Emmery, Sander Wubben et al.7 citations
28. Gradations of Error Severity in Automatic Image Descriptions ↗Emiel van Miltenburg, Wei-Ting Lu, Emiel Krahmer et al.6 citations
29. PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation ↗Clement Rebuffel, Laure Soulier, Geoffrey Scoutheeten et al.6 citations
30. Arabic NLG Language Functions ↗Wael Abed, Ehud Reiter4 citations
31. Market Comment Generation from Data with Noisy Alignments ↗Yumi Hamazono, Yui Uehara, Hiroshi Noji et al.4 citations
32. Studying the Impact of Filling Information Gaps on the Output Quality of Neural Data-to-Text ↗Craig Thomson, Zhijie Zhao, Somayajulu Sripada4 citations
33. Amplifying the Range of News Stories with Creativity: Methods and their Evaluation, in Portuguese ↗Rui Mendes, Hugo Gonçalo Oliveira3 citations
34. Memory Attentive Fusion: External Language Model Integration for Transformer-based Sequence-to-Sequence Model ↗Mana Ihori, Ryo Masumura, Naoki Makishima et al.3 citations
35. Rich Syntactic and Semantic Information Helps Unsupervised Text Style Transfer ↗Hongyu Gong, Linfeng Song, Suma Bhat3 citations
36. SimpleNLG-TI: Adapting SimpleNLG to Tibetan ↗Zewang Kuanzhuo, Li Lin, Zhao Weina3 citations
37. Task Proposal: Abstractive Snippet Generation for Web Pages ↗Shahbaz Syed, Wei-Fan Chen, Matthias Hagen et al.3 citations
38. DaMata: A Robot-Journalist Covering the Brazilian Amazon Deforestation ↗André Luiz Rosa Teixeira, João Campos, Rossana Cunha et al.2 citations
39. From “Before” to “After”: Generating Natural Language Instructions from Image Pairs in a Simple Visual Domain ↗Robin Rojowiec, Jana Götze, Philipp Sadler et al.2 citations
40. Improving the Naturalness and Diversity of Referring Expression Generation models using Minimum Risk Training ↗Nikolaos Panagiaris, Emma Hart, Dimitra Gkatzia2 citations
41. Understanding and Explicitly Measuring Linguistic and Stylistic Properties of Deception via Generation and Translation ↗Emily Saldanha, Aparna Garimella, Svitlana Volkova2 citations
42. Lessons from Computational Modelling of Reference Production in Mandarin and English ↗Guanyi Chen, Kees van Deemter1 citation
43. Listener's Social Identity Matters in Personalised Response Generation ↗Guanyi Chen, Yinhe Zheng, Yupei Du1 citation
44. OMEGA : A probabilistic approach to referring expression generation in a virtual environment ↗Maurice Langner1 citation
45. Generating Quantified Referring Expressions through Attention-Driven Incremental Perception ↗Gordon Briggs
46. Generating Varied Training Corpora in Runyankore Using a Combined Semantic and Syntactic, Pattern-Grammar-based Approach ↗Joan Byamugisha

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