--- title: "GEM 2021 — accepted papers — Elamur Research" description: "GEM 2021 — accepted papers: 1 paper in the Elamur Research library (Online), with our summaries, ranked by citations." canonical: "https://research.elamur.ai/free/en/venues/gem/2021/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/venues/gem/2021/) [home](https://md.research.elamur.ai/free/en/) / [venues](https://md.research.elamur.ai/free/en/venues/) / [GEM](https://md.research.elamur.ai/free/en/venues/gem/) / 2021 # GEM 2021 — accepted papers GEM 2021 is the 2021 edition of the Workshop on Generation, Evaluation and Metrics (GEM), held in Online, August 2021 (publisher: Association for Computational Linguistics). The ACL Anthology lists 16 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. [**16** papers in the proceedings](#all) · [**1** work in our library](https://md.research.elamur.ai/free/en/venues/gem/2021/#works) · [**14** citations of these works](https://md.research.elamur.ai/free/en/venues/gem/2021/#works)**Online** where it was held**August 2021** when ## Most cited papers By their OpenAlex citations; a paper with our summary links to its page here, the others to the original. 1. **[The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ↗](https://aclanthology.org/2021.gem-1.10/)**Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal et al.*154 citations* 2. **[Flesch-Kincaid is Not a Text Simplification Evaluation Metric ↗](https://aclanthology.org/2021.gem-1.1/)**Teerapaun Tanprasert, David Kauchak*30 citations* 3. **[Shades of BLEU, Flavours of Success: The Case of MultiWOZ ↗](https://aclanthology.org/2021.gem-1.4/)**Tomáš Nekvinda, Ondřej Dušek*28 citations* 4. **[Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards ↗](https://aclanthology.org/2021.gem-1.11/)**Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez et al.*23 citations* 5. **[A Review of Human Evaluation for Style Transfer ↗](https://aclanthology.org/2021.gem-1.6/)**Eleftheria Briakou, Sweta Agrawal, Ke Zhang et al.*19 citations* 6. **[Semantic Similarity Based Evaluation for Abstractive News Summarization ↗](https://aclanthology.org/2021.gem-1.3/)**Figen Beken Fikri, Kemal Oflazer, Berrin Yanikoglu*15 citations* 7. **[Decoding Methods for Neural Narrative Generation ↗](https://aclanthology.org/2021.gem-1.16/)**Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li et al.*12 citations* 8. **[Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers ↗](https://aclanthology.org/2021.gem-1.9/)**Mika Hämäläinen, Khalid Alnajjar*11 citations* 9. **[Evaluating Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/wang-2021-evaluating-text-generation-discourse-representation/)**Chunliu Wang, Rik van Noord, Arianna Bisazza et al.*7 citations · our summary* 10. **[Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task ↗](https://aclanthology.org/2021.gem-1.12/)**Shreyan Bakshi, Soumya Batra, Peyman Heidari et al.*5 citations* ## All accepted papers (16) The most cited first; 1 with our summary link to their page here, the others to the original. 1. **[The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics ↗](https://aclanthology.org/2021.gem-1.10/)**Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal et al.*154 citations* 2. **[Flesch-Kincaid is Not a Text Simplification Evaluation Metric ↗](https://aclanthology.org/2021.gem-1.1/)**Teerapaun Tanprasert, David Kauchak*30 citations* 3. **[Shades of BLEU, Flavours of Success: The Case of MultiWOZ ↗](https://aclanthology.org/2021.gem-1.4/)**Tomáš Nekvinda, Ondřej Dušek*28 citations* 4. **[Reusable Templates and Guides For Documenting Datasets and Models for Natural Language Processing and Generation: A Case Study of the HuggingFace and GEM Data and Model Cards ↗](https://aclanthology.org/2021.gem-1.11/)**Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez et al.*23 citations* 5. **[A Review of Human Evaluation for Style Transfer ↗](https://aclanthology.org/2021.gem-1.6/)**Eleftheria Briakou, Sweta Agrawal, Ke Zhang et al.*19 citations* 6. **[Semantic Similarity Based Evaluation for Abstractive News Summarization ↗](https://aclanthology.org/2021.gem-1.3/)**Figen Beken Fikri, Kemal Oflazer, Berrin Yanikoglu*15 citations* 7. **[Decoding Methods for Neural Narrative Generation ↗](https://aclanthology.org/2021.gem-1.16/)**Alexandra DeLucia, Aaron Mueller, Xiang Lisa Li et al.*12 citations* 8. **[Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers ↗](https://aclanthology.org/2021.gem-1.9/)**Mika Hämäläinen, Khalid Alnajjar*11 citations* 9. **[Evaluating Text Generation from Discourse Representation Structures](https://md.research.elamur.ai/free/en/papers/wang-2021-evaluating-text-generation-discourse-representation/)**Chunliu Wang, Rik van Noord, Arianna Bisazza et al.*7 citations · our summary* 10. **[Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task ↗](https://aclanthology.org/2021.gem-1.12/)**Shreyan Bakshi, Soumya Batra, Peyman Heidari et al.*5 citations* 11. **[Human Perception in Natural Language Generation ↗](https://aclanthology.org/2021.gem-1.2/)**Lorenzo De Mattei, Huiyuan Lai, Felice Dell'Orletta et al.*4 citations* 12. **[System Description for the CommonGen task with the POINTER model ↗](https://aclanthology.org/2021.gem-1.15/)**Anna Shvets*3 citations* 13. **[GOT: Testing for Originality in Natural Language Generation ↗](https://aclanthology.org/2021.gem-1.7/)**Jennifer Brooks, Abdou Youssef 14. **[NUIG-DSI's submission to The GEM Benchmark 2021 ↗](https://aclanthology.org/2021.gem-1.13/)**Nivranshu Pasricha, Mihael Arcan, Paul Buitelaar 15. **[Personalized Response Generation with Tensor Factorization ↗](https://aclanthology.org/2021.gem-1.5/)**Zhenghui Wang, Lingxiao Luo, Diyi Yang 16. **[SimpleNER Sentence Simplification System for GEM 2021 ↗](https://aclanthology.org/2021.gem-1.14/)**K V Aditya Srivatsa, Monil Gokani, Manish Shrivastava ## Papers with our summary in our library (1) The most cited first (OpenAlex citations plus our library's). 1. [**Evaluating Text Generation from Discourse Representation Structures**Chunliu Wang, Rik van Noord, Arianna Bisazza, et al.*2021 · 14 citations*](https://md.research.elamur.ai/free/en/papers/wang-2021-evaluating-text-generation-discourse-representation/) ## Top topics Topics of its works in our library, with the number of works on each. [Machine translation (1)](https://md.research.elamur.ai/free/en/topics/machine-translation/) · [Text generation (1)](https://md.research.elamur.ai/free/en/topics/text-generation/) · [Evaluation & benchmarks (1)](https://md.research.elamur.ai/free/en/topics/evaluation-benchmarks/) ## 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. [🧑‍🔬**Arianna Bisazza**1 work here · 14 citations](https://md.research.elamur.ai/free/en/authors/arianna-bisazza/) · [🧑‍🔬**Chunliu Wang**1 work here · 14 citations](https://md.research.elamur.ai/free/en/authors/chunliu-wang/) · [🧑‍🔬**Johan Bos**1 work here · 14 citations](https://md.research.elamur.ai/free/en/authors/johan-bos/) · [🧑‍🔬**Rik van Noord**1 work here · 14 citations](https://md.research.elamur.ai/free/en/authors/rik-van-noord/) ## Top institutions Institutions on the bylines of its works here, by the number of works. [🎓**University of Groningen** Groningen · Netherlands 1 work here](https://md.research.elamur.ai/free/en/universities/university-of-groningen/) Place and dates from the event's site or the ACL Anthology; works and citations from OpenAlex and our library. - [next → GEM 2022](https://md.research.elamur.ai/free/en/venues/gem/2022/) - [↑ back to GEM](https://md.research.elamur.ai/free/en/venues/gem/)