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    "paper_id": "2020",
    "header": {
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        "paper_id": "2020",
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        "abstract": [],
        "body_text": [
            {
                "text": "Welcome to the First Workshop on Evaluation and Comparison of NLP Systems (Eval4NLP).",
                "cite_spans": [],
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                "section": "Introduction",
                "sec_num": null
            },
            {
                "text": "Fair evaluations and comparisons are of fundamental importance in tracking the development of NLP. This is particularly challenging within the current deep learning revolution, as many techniques are blackbox and new state-of-the-art results are reported in ever shorter intervals. On the other hand, the rapid evolution of NLP methods endows the community with ever more tools for evaluating and understanding existing NLP systems. With both these challenges and opportunities in mind, we organize this workshop, aiming at providing a platform to present and discuss the latest advances in NLP evaluation methods and resources.",
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                "section": "Introduction",
                "sec_num": null
            },
            {
                "text": "The workshop has attracted considerable attention from the community, with 38 research papers finally submitted. After double-blind reviewing by two reviewers each, 19 papers were selected to be presented in the workshop, consisting of 15 long papers, two short papers and two non-archival papers. The accepted papers cover a wide range of topics in NLP evaluation and comparison, including novel evaluation metrics for multiple NLG systems (summarization, translation, image captioning, and dialogue generation), word embeddings, OpenIE systems, and language grammaticality; discussions about how to properly report the evaluation results; and a survey on using Textual Entailment for generic NLP evaluation.",
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                "section": "Introduction",
                "sec_num": null
            }
        ],
        "back_matter": [
            {
                "text": "We wish to thank all of the authors for their contributions, the members of the Program Committee for their thoughtful reviews, the invited speakers for sharing their vision and outlook, the sponsors (Google and Amazon) for their generous support, and all the attendees of their participation. We believe all these will contribute to a successful workshop. Looking forward to meeting you all (virtually) at Eval4NLP!",
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                "section": "acknowledgement",
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                "raw_text": "On the Evaluation of Machine Translation n-best Lists Jacob Bremerman, Huda Khayrallah, Douglas Oard and Matt Post . . . . . . . . . . . . . . . . . . . . . . . . . . . 60",
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                "raw_text": "Friday, November 20, 2020 9:00-9:15 Opening Remarks 9:15-10:15 Keynote Talk 1 10:15-11:15 Keynote Talk 2 11:15-12:45 Poster Session 1 11:15-12:45 Truth or Error? Towards systematic analysis of factual errors in abstractive sum- maries Klaus-Michael Lux, Maya Sappelli and Martha Larson 11:15-12:45 Fill in the BLANC: Human-free quality estimation of document summaries Oleg Vasilyev, Vedant Dharnidharka and John Bohannon 11:15-12:45 Item Response Theory for Efficient Human Evaluation of Chatbots Jo\u00e3o Sedoc and Lyle Ungar 11:15-12:45 ViLBERTScore: Evaluating Image Caption Using Vision-and-Language BERT Hwanhee Lee, Seunghyun Yoon, Franck Dernoncourt, Doo Soon Kim, Trung Bui and Kyomin Jung 11:15-12:45 BLEU Neighbors: A Reference-less Approach to Automatic Evaluation Kawin Ethayarajh and Dorsa Sadigh 11:15-12:45 Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance Xi Chen, Nan Ding, Tomer Levinboim and Radu Soricut 11:15-12:45 On the Evaluation of Machine Translation n-best Lists Jacob Bremerman, Huda Khayrallah, Douglas Oard and Matt Post 11:15-12:45 Artemis: A Novel Annotation Methodology for Indicative Single Document Summa- rization Rahul Jha, Keping Bi, Yang Li, Mahdi Pakdaman, Asli Celikyilmaz, Ivan Zhiboe- dov and Kieran McDonald ix Friday, November 20, 2020 (continued) 14:00-15:00 Keynote Talk 3 15:00-16:00 Keynote Talk 4 16:00-17:30 Poster Session 2 16:00-17:30 Probabilistic Extension of Precision, Recall, and F1 Score for More Thorough Eval- uation of Classification Models Reda Yacouby and Dustin Axman 16:00-17:30 A survey on Recognizing Textual Entailment as an NLP Evaluation Adam Poliak 16:00-17:30 Grammaticality and Language Modelling Jingcheng Niu and Gerald Penn 16:00-17:30 One of these words is not like the other: a reproduction of outlier identification using non-contextual word representations Jesper Brink Andersen, Mikkel Bak Bertelsen, Mikkel H\u00f8rby Schou, Manuel R. Ciosici and Ira Assent 16:00-17:30 Are Some Words Worth More than Others? Shiran Dudy and Steven Bedrick 16:00-17:30 On Aligning OpenIE Extractions with Knowledge Bases: A Case Study Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling and Christian Meilicke 16:00-17:30 ClusterDataSplit: Exploring Challenging Clustering-Based Data Splits for Model Performance Evaluation Hanna Wecker, Annemarie Friedrich and Heike Adel 16:00-17:30 Best Practices for Crowd-based Evaluation of German Summarization: Comparing Crowd, Expert and Automatic Evaluation Neslihan Iskender, Tim Polzehl and Sebastian M\u00f6ller 16:00-17:30 Evaluating Word Embeddings on Low-Resource Languages Nathan Stringham and Mike Izbicki x Friday, November 20, 2020 (continued) 17:30-17:45 Concluding Remarks xi",
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        "ref_entries": {}
    }
}