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| "abstract": "The first Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) was held on August 6, colocated with ACL 2021. The GEM workshop is endorsed by SIGGEN. The organization of GEM was started following discussions during Bird-of-a-Feather sessions at ACL 2020 in which a large share of the attending generation researchers agreed that we need a community-driven project focused on combining advancements in data, models, and (automatic and human) evaluation to measure progress in natural language generation (NLG). The focus of the GEM workshop was in the shared task for the associated benchmark which was created by the entire program committee. In addition to making an in-depth evaluation of generation models possible, GEM also aims to make generation research more inclusive of additional languages by being designed to be extended with newly created datasets and by prioritizing inclusion of datasets that target languages beyond English. Preliminary results of the shared task were announced at the workshop. In addition to four reports of shared task participants, we also received 14 research papers of which 11 were accepted for presentation at the workshop. We further invited the authors of 12 Findings of the ACL papers to present, leading to a total of 27 presentations. Asli Celikyilmaz gave an invited keynote and participated in one of the two panel discussions on responsible progress in NLG. The other panelists were", |
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| "abstract": [ |
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| "text": "The first Workshop on Natural Language Generation, Evaluation, and Metrics (GEM) was held on August 6, colocated with ACL 2021. The GEM workshop is endorsed by SIGGEN. The organization of GEM was started following discussions during Bird-of-a-Feather sessions at ACL 2020 in which a large share of the attending generation researchers agreed that we need a community-driven project focused on combining advancements in data, models, and (automatic and human) evaluation to measure progress in natural language generation (NLG). The focus of the GEM workshop was in the shared task for the associated benchmark which was created by the entire program committee. In addition to making an in-depth evaluation of generation models possible, GEM also aims to make generation research more inclusive of additional languages by being designed to be extended with newly created datasets and by prioritizing inclusion of datasets that target languages beyond English. Preliminary results of the shared task were announced at the workshop. In addition to four reports of shared task participants, we also received 14 research papers of which 11 were accepted for presentation at the workshop. We further invited the authors of 12 Findings of the ACL papers to present, leading to a total of 27 presentations. Asli Celikyilmaz gave an invited keynote and participated in one of the two panel discussions on responsible progress in NLG. The other panelists were", |
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| "text": " Friday, August 6, 2021 11:30-12 ", |
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| "text": "Friday, August 6, 2021 11:30-12", |
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| "section": "Conference Program", |
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| "raw_text": "Friday, August 6, 2021 (continued) 14:00-15:00 Talk Session 14:00-14:15 Personalized Response Generation with Tensor Factorization Zhenghui Wang, Lingxiao Luo and Diyi Yang 14:15-14:30 A Review of Human Evaluation for Style Transfer Eleftheria Briakou, Sweta Agrawal, Ke Zhang, Joel Tetreault and Marine Carpuat 14:30-14:45 GOT: Testing for Originality in Natural Language Generation Jennifer Brooks and Abdou Youssef 14:45-15:00 Evaluating Text Generation from Discourse Representation Structures Chunliu Wang, Rik van Noord, Arianna Bisazza and Johan Bos 15:00-15:55 Poster Session Human Evaluation of Creative NLG Systems: An Interdisciplinary Survey on Recent Papers Mika H\u00e4m\u00e4l\u00e4inen and Khalid Alnajjar 16:00-16:50 Keynote Session 16:00-16:50 Keynote Asli Celikyilmaz x Friday, August 6, 2021 (continued) 17:00-17:45 Panel Session 17:00-17:45 Panel 18:00-19:00 GEM Overview Session 18:00-18:15 The GEM Benchmark: Natural Language Generation, its Evaluation and Metrics Sebastian Gehrmann, Tosin Adewumi, Karmanya Aggarwal, Pawan Sasanka Am- manamanchi, Anuoluwapo Aremu, Antoine Bosselut, Khyathi Raghavi Chandu, Miruna-Adriana Clinciu, Dipanjan Das, Kaustubh Dhole, Wanyu Du, Esin Dur- mus, Ond\u0159ej Du\u0161ek, Chris Chinenye Emezue, Varun Gangal, Cristina Garbacea, Tatsunori Hashimoto, Yufang Hou, Yacine Jernite, Harsh Jhamtani, Yangfeng Ji, Shailza Jolly, Mihir Kale, Dhruv Kumar, Faisal Ladhak, Aman Madaan, Mounica Maddela, Khyati Mahajan, Saad Mahamood, Bodhisattwa Prasad Majumder, Pedro Henrique Martins, Angelina McMillan-Major, Simon Mille, Emiel van Miltenburg, Moin Nadeem, Shashi Narayan, Vitaly Nikolaev, Andre Niyongabo Rubungo, Sa- lomey Osei, Ankur Parikh, Laura Perez-Beltrachini, Niranjan Ramesh Rao, Vikas Raunak, Juan Diego Rodriguez, Sashank Santhanam, Jo\u00e3o Sedoc, Thibault Sellam, Samira Shaikh, Anastasia Shimorina, Marco Antonio Sobrevilla Cabezudo, Hen- drik Strobelt, Nishant Subramani, Wei Xu, Diyi Yang, Akhila Yerukola and Jiawei Zhou 18:15-18:30 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 Angelina McMillan-Major, Salomey Osei, Juan Diego Rodriguez, Pawan Sasanka Ammanamanchi, Sebastian Gehrmann and Yacine Jernite 19:00-20:00 GEM Systems Session 19:00-19:15 Structure-to-Text Generation with Self-Training, Acceptability Classifiers and Context-Conditioning for the GEM Shared Task Shreyan Bakshi, Soumya Batra, Peyman Heidari, Ankit Arun, Shashank Jain and Michael White 19:15-19:30 NUIG-DSI's submission to The GEM Benchmark 2021 Nivranshu Pasricha, Mihael Arcan and Paul Buitelaar 19:30-19:45 SimpleNER Sentence Simplification System for GEM 2021", |
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