📰 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.

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 MetricsSebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal et al.154 citations
2. Flesch-Kincaid is Not a Text Simplification Evaluation MetricTeerapaun Tanprasert, David Kauchak30 citations
3. Shades of BLEU, Flavours of Success: The Case of MultiWOZTomáš Nekvinda, Ondřej Dušek28 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 CardsAngelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez et al.23 citations
5. A Review of Human Evaluation for Style TransferEleftheria Briakou, Sweta Agrawal, Ke Zhang et al.19 citations
6. Semantic Similarity Based Evaluation for Abstractive News SummarizationFigen Beken Fikri, Kemal Oflazer, Berrin Yanikoglu15 citations
7. Decoding Methods for Neural Narrative GenerationAlexandra DeLucia, Aaron Mueller, Xiang Lisa Li et al.12 citations
8. Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent PapersMika Hämäläinen, Khalid Alnajjar11 citations
9. Evaluating Text Generation from Discourse Representation StructuresChunliu 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 TaskShreyan 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 MetricsSebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal et al.154 citations
2. Flesch-Kincaid is Not a Text Simplification Evaluation MetricTeerapaun Tanprasert, David Kauchak30 citations
3. Shades of BLEU, Flavours of Success: The Case of MultiWOZTomáš Nekvinda, Ondřej Dušek28 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 CardsAngelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez et al.23 citations
5. A Review of Human Evaluation for Style TransferEleftheria Briakou, Sweta Agrawal, Ke Zhang et al.19 citations
6. Semantic Similarity Based Evaluation for Abstractive News SummarizationFigen Beken Fikri, Kemal Oflazer, Berrin Yanikoglu15 citations
7. Decoding Methods for Neural Narrative GenerationAlexandra DeLucia, Aaron Mueller, Xiang Lisa Li et al.12 citations
8. Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent PapersMika Hämäläinen, Khalid Alnajjar11 citations
9. Evaluating Text Generation from Discourse Representation StructuresChunliu 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 TaskShreyan Bakshi, Soumya Batra, Peyman Heidari et al.5 citations
11. Human Perception in Natural Language GenerationLorenzo De Mattei, Huiyuan Lai, Felice Dell'Orletta et al.4 citations
12. System Description for the CommonGen task with the POINTER modelAnna Shvets3 citations
13. GOT: Testing for Originality in Natural Language GenerationJennifer Brooks, Abdou Youssef
14. NUIG-DSI's submission to The GEM Benchmark 2021Nivranshu Pasricha, Mihael Arcan, Paul Buitelaar
15. Personalized Response Generation with Tensor FactorizationZhenghui Wang, Lingxiao Luo, Diyi Yang
16. SimpleNER Sentence Simplification System for GEM 2021K 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 StructuresChunliu Wang, Rik van Noord, Arianna Bisazza, et al.2021 · 14 citations

🧭 Top topics

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

🔁Machine translation (1)✍️Text generation (1)📏Evaluation & benchmarks (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.

🎓University of GroningenGroningen · Netherlands1 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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