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INLG 2021: all accepted papers

45 papers · the most cited first · ← INLG 2021

  1. Underreporting of errors in NLG output, and what to do about it ↗Emiel van Miltenburg, Miruna Clinciu, Ondřej Dušek et al.25 citations
  2. The ReproGen Shared Task on Reproducibility of Human Evaluations in NLG: Overview and Results ↗Anya Belz, Anastasia Shimorina, Shubham Agarwal et al.20 citations
  3. Generating Racing Game Commentary from Vision, Language, and Structured Data ↗Tatsuya Ishigaki, Goran Topic, Yumi Hamazono et al.18 citations
  4. Goal-Oriented Script Construction ↗Qing Lyu, Li Zhang, Chris Callison-Burch14 citations
  5. DialogSum Challenge: Summarizing Real-Life Scenario Dialogues ↗Yulong Chen, Yang Liu, Yue Zhang13 citations
  6. Biomedical Data-to-Text Generation via Fine-Tuning Transformers ↗Ruslan Yermakov, Nicholas Drago, Angelo Ziletti12 citations
  7. Multi-Sentence Knowledge Selection in Open-Domain Dialogue ↗Mihail Eric, Nicole Chartier, Behnam Hedayatnia et al.12 citations
  8. SEPRG: Sentiment aware Emotion controlled Personalized Response Generation ↗Mauajama Firdaus, Umang Jain, Asif Ekbal et al.9 citations
  9. Shared Task on Feedback Comment Generation for Language Learners ↗Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa et al.8 citations
  10. Affective Decoding for Empathetic Response Generation ↗Chengkun Zeng, Guanyi Chen, Chenghua Lin et al.7 citations
  11. GraphPlan: Story Generation by Planning with Event Graph ↗Hong Chen, Raphael Shu, Hiroya Takamura et al.7 citations
  12. Enriching the E2E dataset ↗Thiago Castro Ferreira, Helena Vaz, Brian Davis et al.6 citations
  13. Contextualizing Variation in Text Style Transfer Datasets ↗Stephanie Schoch, Wanyu Du, Yangfeng Ji3 citations
  14. Decoding, Fast and Slow: A Case Study on Balancing Trade-Offs in Incremental, Character-level Pragmatic ReasoningSina Zarrieß, Hendrik Buschmeier, Ting Han et al.3 citations · our summary
  15. Neural Methodius Revisited: Do Discourse Relations Help with Pre-Trained Models Too? ↗Aleksandre Maskharashvili, Symon Stevens-Guille, Xintong Li et al.3 citations
  16. Predicting Antonyms in Context using BERT ↗Ayana Niwa, Keisuke Nishiguchi, Naoaki Okazaki3 citations
  17. Automatic Verification of Data Summaries ↗Rayhane Rezgui, Mohammed Saeed, Paolo Papotti2 citations
  18. Self-Training for Compositional Neural NLG in Task-Oriented Dialogue ↗Xintong Li, Symon Stevens-Guille, Aleksandre Maskharashvili et al.2 citations
  19. Exploring Input Representation Granularity for Generating Questions Satisfying Question-Answer Congruence ↗Madeeswaran Kannan, Haemanth Santhi Ponnusamy, Kordula De Kuthy et al.1 citation
  20. HI-CMLM: Improve CMLM with Hybrid Decoder Input ↗Minghan Wang, Guo Jiaxin, Yuxia Wang et al.1 citation
  21. SAPPHIRE: Approaches for Enhanced Concept-to-Text Generation ↗Steven Y. Feng, Jessica Huynh, Chaitanya Prasad Narisetty et al.1 citation
  22. Text-in-Context: Token-Level Error Detection for Table-to-Text Generation ↗Zdeněk Kasner, Simon Mille, Ondřej Dušek1 citation
  23. Using BERT for choosing classifiers in Mandarin ↗Jani Järnfors, Guanyi Chen, Kees van Deemter et al.1 citation
  24. What can Neural Referential Form Selectors Learn? ↗Guanyi Chen, Fahime Same, Kees van Deemter1 citation
  25. Single Example Can Improve Zero-Shot Data Generation ↗Pavel Burnyshev, Valentin Malykh, Andrey Bout et al.

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