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Understanding Factual Errors in Summarization: Errors, Summarizers, Datasets, Error Detectors



Liyan Tang , Tanya Goyal , Alexander R. Fabbri , Philippe Laban , Jiacheng Xu , Semih Yahvuz , Wojciech Kryściński , Justin F. Rousseau , Greg Durrett

* 11 pages (15 with references and appendix), 4 figures, 8 Tables 

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QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization



Alexander R. Fabbri , Chien-Sheng Wu , Wenhao Liu , Caiming Xiong


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Exploring Neural Models for Query-Focused Summarization



Jesse Vig , Alexander R. Fabbri , Wojciech Kryściński , Chien-Sheng Wu , Wenhao Liu


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Bidimensional Leaderboards: Generate and Evaluate Language Hand in Hand



Jungo Kasai , Keisuke Sakaguchi , Ronan Le Bras , Lavinia Dunagan , Jacob Morrison , Alexander R. Fabbri , Yejin Choi , Noah A. Smith

* Project website: https://nlp.cs.washington.edu/billboard/ 

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AnswerSumm: A Manually-Curated Dataset and Pipeline for Answer Summarization



Alexander R. Fabbri , Xiaojian Wu , Srini Iyer , Haoran Li , Mona Diab

* arXiv admin note: substantial text overlap with arXiv:2104.08536 

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Investigating Crowdsourcing Protocols for Evaluating the Factual Consistency of Summaries



Xiangru Tang , Alexander R. Fabbri , Ziming Mao , Griffin Adams , Borui Wang , Haoran Li , Yashar Mehdad , Dragomir Radev


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ConvoSumm: Conversation Summarization Benchmark and Improved Abstractive Summarization with Argument Mining



Alexander R. Fabbri , Faiaz Rahman , Imad Rizvi , Borui Wang , Haoran Li , Yashar Mehdad , Dragomir Radev

* ACL 2021 

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Multi-Perspective Abstractive Answer Summarization



Alexander R. Fabbri , Xiaojian Wu , Srini Iyer , Mona Diab


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Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation



Alexander R. Fabbri , Simeng Han , Haoyuan Li , Haoran Li , Marjan Ghazvininejad , Shafiq Joty , Dragomir Radev , Yashar Mehdad


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