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Evaluating the factual consistency of automatically generated summaries is essential for the progress and adoption of reliable summarization systems.
Roberta: A robustly optimized bert pretraining approach
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Knowledge-aware language model pretraining
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Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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Using relevant public posts to enhance news article summarization
Chen Li, Zhongyu Wei, Yang Liu, Yang Jin, and Fei Huang. 2016 · 2016
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Casesummarizer: a system for automated summarization of legal texts
Seth Polsley, Pooja Jhunjhunwala, and Ruihong Huang. 2016 · 2016
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Conceptnet 5.5: An open multilingual graph of general knowledge
Robyn Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
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Faithful to the original: Fact aware neural abstractive summarization
Ziqiang Cao, Furu Wei, Wenjie Li, and Sujian Li. 2018 · 2018
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Harnessing popularity in social media for extractive summarization of online conversations
Ryuji Kano, Yasuhide Miura, Motoki Taniguchi, Yan-Ying Chen, Francine Chen, and Tomoko Ohkuma. 2018 · 2018
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Don’t give me the details, just the summary! topic-aware convolutional neural networks for extreme summarization
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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To annotate or not? predicting performance drop under domain shift
Hady Elsahar and Matthias Gallé. 2019 · 2019
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Question answering as an automatic evaluation metric for news article summarization
Matan Eyal, Tal Baumel, and Michael Elhadad. 2019 · 2019
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PyTorch Lightning
William Falcon and The PyTorch Lightning team. 2019 · 2019
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Multi-hop paragraph retrieval for open-domain question answering
Yair Feldman and Ran El-Yaniv. 2019 · 2019
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Text summarization from legal documents: a survey
Ambedkar Kanapala, Sukomal Pal, and Rajendra Pamula. 2019 · 2019
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Tensor decompositions for temporal knowledge base completion
Timothée Lacroix, Guillaume Obozinski, and Nicolas Usunier. 2019 · 2019
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TalkSumm: A dataset and scalable annotation method for scientific paper summarization based on conference talks
Guy Lev, Michal Shmueli-Scheuer, Jonathan Herzig, Achiya Jerbi, and David Konopnicki. 2019 · 2019
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Text summarization with pretrained encoders
Yang Liu and Mirella Lapata. 2019 · 2019
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Pytorch: An imperative style, high-performance deep learning library
Adam Paszke, Sam Gross, Francisco Massa, Adam Lerer, James Bradbury, Gregory Chanan, Trevor Killeen, Zeming Lin, Natalia Gimelshein, Luca Antiga, et al. 2019 · 2019
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Towards summarization for social media - results of the TL;DR challenge
Shahbaz Syed, Michael Völske, Nedim Lipka, Benno Stein, Hinrich Schütze, and Martin Potthast. 2019 · 2019
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Assessing social and intersectional biases in contextualized word representations
Yi Chern Tan and L Elisa Celis. 2019 · 2019
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Composition-based multi-relational graph convolutional networks
Shikhar Vashishth, Soumya Sanyal, Vikram Nitin, and Partha Talukdar. 2019 · 2019
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Bertscore: Evaluating text generation with bert
Tianyi Zhang, Varsha Kishore, Felix Wu, Kilian Q Weinberger, and Yoav Artzi. 2019 · 2019
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Tldr: Extreme summarization of scientific documents
Isabel Cachola, Kyle Lo, Arman Cohan, and Daniel S Weld. 2020 · 2020
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Kgpt: Knowledge-grounded pre-training for data-to-text generation
Wenhu Chen, Yu Su, Xifeng Yan, and William Yang Wang. 2020 · 2020
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Debiasing knowledge graph embeddings
Joseph Fisher, Arpit Mittal, Dave Palfrey, and Christos Christodoulopoulos. 2020 · 2020
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Evaluating factuality in generation with dependency-level entailment
Tanya Goyal and Greg Durrett. 2020 · 2020
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020 · 2020
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TWEETSUM: Event oriented social summarization dataset
Ruifang He, Liangliang Zhao, and Huanyu Liu. 2020 · 2020
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Evaluating the factual consistency of abstractive text summarization
Wojciech Kryściński, Bryan McCann, Caiming Xiong, and Richard Socher. 2020 · 2020
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Rethinking domain adaptation for machine learning over clinical language
Egoitz Laparra, Steven Bethard, and Timothy A Miller. 2020 · 2020
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Yago 4: A reason-able knowledge base
Thomas Pellissier Tanon, Gerhard Weikum, and Fabian Suchanek. 2020 · 2020
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End-to-end synthetic data generation for domain adaptation of question answering systems
Siamak Shakeri, Cicero dos Santos, Henghui Zhu, Patrick Ng, Feng Nan, Zhiguo Wang, Ramesh Nallapati, and Bing Xiang. 2020 · 2020
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Fact or fiction: Verifying scientific claims
David Wadden, Shanchuan Lin, Kyle Lo, Lucy Lu Wang, Madeleine van Zuylen, Arman Cohan, and Hannaneh Hajishirzi. 2020 · 2020
Knowledge-enriched natural language generation
Wenhao Yu, Meng Jiang, Zhiting Hu, Qingyun Wang, Heng Ji, and Nazneen Rajani. 2021 · 2021
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Correcting diverse factual errors in abstractive summarization via post-editing and language model infilling
Vidhisha Balachandran, Hannaneh Hajishirzi, William Cohen, and Yulia Tsvetkov. 2022 · 2022
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QAFactEval: Improved QA-based factual consistency evaluation for summarization
Alexander Fabbri, Chien-Sheng Wu, Wenhao Liu, and Caiming Xiong. 2022 · 2022
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Multi-hop open-domain question answering over structured and unstructured knowledge
Yue Feng, Zhen Han, Mingming Sun, and Ping Li. 2022 · 2022
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Making science simple: Corpora for the lay summarisation of scientific literature
Tomas Goldsack, Zhihao Zhang, Chenghua Lin, and Carolina Scarton. 2022 · 2022
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alphaXiv searches the wider corpus for related work and actual follow-ups.
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Cord-19: The covid-19 open research dataset
Lucy Lu Wang, Kyle Lo, Yoganand Chandrasekhar, Russell Reas, Jiangjiang Yang, Doug Burdick, Darrin Eide, Kathryn Funk, Yannis Katsis, Rodney Michael Kinney, et al. 2020b · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi Louf, Morgan Funtowicz, et al. 2020 · 2020
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Fact-based content weighting for evaluating abstractive summarisation
Xinnuo Xu, Ondřej Dušek, Jingyi Li, Verena Rieser, and Ioannis Konstas. 2020 · 2020
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Knowledge graph based synthetic corpus generation for knowledge-enhanced language model pre-training
Oshin Agarwal, Heming Ge, Siamak Shakeri, and Rami Al-Rfou. 2021 · 2021
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Neural methods for logical reasoning over knowledge graphs
Alfonso Amayuelas, Shuai Zhang, Xi Susie Rao, and Ce Zhang. 2021 · 2021
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StructSum: Summarization via structured representations
Vidhisha Balachandran, Artidoro Pagnoni, Jay Yoon Lee, Dheeraj Rajagopal, Jaime Carbonell, and Yulia Tsvetkov. 2021 · 2021
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Hypergraph transformer: Weakly-supervised multi-hop reasoning for knowledge-based visual question answering
Yu-Jung Heo, Eun-Sol Kim, Woo Suk Choi, and Byoung-Tak Zhang. 2022 · 2022
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Learning from missing relations: Contrastive learning with commonsense knowledge graphs for commonsense inference
Yong-Ho Jung, Jun-Hyung Park, Joon-Young Choi, Mingyu Lee, Junho Kim, Kang-Min Kim, and SangKeun Lee. 2022 · 2022
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Modularized transfer learning with multiple knowledge graphs for zero-shot commonsense reasoning
Yu Jin Kim, Beong-woo Kwak, Youngwook Kim, Reinald Kim Amplayo, Seung-won Hwang, and Jinyoung Yeo. 2022 · 2022
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SummaC: Re-Visiting NLI-based Models for Inconsistency Detection in Summarization
Philippe Laban, Tobias Schnabel, Paul N. Bennett, and Marti A. Hearst. 2022 · 2022
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Pre-training language models with deterministic factual knowledge
Shaobo Li, Xiaoguang Li, Lifeng Shang, Chengjie Sun, Bingquan Liu, Zhenzhou Ji, Xin Jiang, and Qun Liu. 2022 · 2022
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End-to-end segmentation-based news summarization
Yang Liu, Chenguang Zhu, and Michael Zeng. 2022c · 2022
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Data augmentation for low-resource dialogue summarization
Yongtai Liu, Joshua Maynez, Gonçalo Simões, and Shashi Narayan. 2022d · 2022
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Open domain question answering with a unified knowledge interface
Kaixin Ma, Hao Cheng, Xiaodong Liu, Eric Nyberg, and Jianfeng Gao. 2022 · 2022
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Locating and editing factual associations in gpt
Kevin Meng, David Bau, Alex J Andonian, and Yonatan Belinkov. 2022 · 2022
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Constraint-based multi-hop question answering with knowledge graph
Sayantan Mitra, Roshni Ramnani, and Shubhashis Sengupta. 2022 · 2022
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UniK-QA: Unified representations of structured and unstructured knowledge for open-domain question answering
Barlas Oguz, Xilun Chen, Vladimir Karpukhin, Stan Peshterliev, Dmytro Okhonko, Michael Schlichtkrull, Sonal Gupta, Yashar Mehdad, and Scott Yih. 2022 · 2022
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Measuring and narrowing the compositionality gap in language models
Ofir Press, Muru Zhang, Sewon Min, Ludwig Schmidt, Noah A Smith, and Mike Lewis. 2022 · 2022
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FactGraph: Evaluating factuality in summarization with semantic graph representations
Leonardo F. R. Ribeiro, Mengwen Liu, Iryna Gurevych, Markus Dreyer, and Mohit Bansal. 2022 · 2022
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DialoKG: Knowledge-structure aware task-oriented dialogue generation
Md Rashad Al Hasan Rony, Ricardo Usbeck, and Jens Lehmann. 2022 · 2022
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Phrase-level localization of inconsistency errors in summarization by weak supervision
Masato Takatsuka, Tetsunori Kobayashi, and Yoshihiko Hayashi. 2022 · 2022
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CONFIT: Toward faithful dialogue summarization with linguistically-informed contrastive fine-tuning
Xiangru Tang, Arjun Nair, Borui Wang, Bingyao Wang, Jai Desai, Aaron Wade, Haoran Li, Asli Celikyilmaz, Yashar Mehdad, and Dragomir Radev. 2022 · 2022
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Falsesum: Generating document-level NLI examples for recognizing factual inconsistency in summarization
Prasetya Utama, Joshua Bambrick, Nafise Moosavi, and Iryna Gurevych. 2022 · 2022
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MultiVerS: Improving scientific claim verification with weak supervision and full-document context
David Wadden, Kyle Lo, Lucy Lu Wang, Arman Cohan, Iz Beltagy, and Hannaneh Hajishirzi. 2022 · 2022
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Deep inductive logic reasoning for multi-hop reading comprehension
Wenya Wang and Sinno Pan. 2022 · 2022
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Symbolic knowledge distillation: from general language models to commonsense models
Peter West, Chandra Bhagavatula, Jack Hessel, Jena Hwang, Liwei Jiang, Ronan Le Bras, Ximing Lu, Sean Welleck, and Yejin Choi. 2022 · 2022
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Deep bidirectional language-knowledge graph pretraining
Michihiro Yasunaga, Antoine Bosselut, Hongyu Ren, Xikun Zhang, Christopher D Manning, Percy S Liang, and Jure Leskovec. 2022 · 2022
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KCD: Knowledge walks and textual cues enhanced political perspective detection in news media
Wenqian Zhang, Shangbin Feng, Zilong Chen, Zhenyu Lei, Jundong Li, and Minnan Luo. 2022a · 2022
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Multilingual summarization with factual consistency evaluation
Roee Aharoni, Shashi Narayan, Joshua Maynez, Jonathan Herzig, Elizabeth Clark, and Mirella Lapata. 2023 · 2023
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CrossSum: Beyond English-centric cross-lingual summarization for 1,500+ language pairs
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, and Rifat Shahriyar. 2023 · 2023
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KALM: Knowledge-aware integration of local, document, and global contexts for long document understanding
Shangbin Feng, Zhaoxuan Tan, Wenqian Zhang, Zhenyu Lei, and Yulia Tsvetkov. 2023 · 2023
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Z-code++: A pre-trained language model optimized for abstractive summarization
Pengcheng He, Baolin Peng, Song Wang, Yang Liu, Ruochen Xu, Hany Hassan, Yu Shi, Chenguang Zhu, Wayne Xiong, Michael Zeng, Jianfeng Gao, and Xuedong Huang. 2023 · 2023
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Chatgpt as a factual inconsistency evaluator for abstractive text summarization
Zheheng Luo, Qianqian Xie, and Sophia Ananiadou. 2023 · 2023
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On second thought, let’s not think step by step! bias and toxicity in zero-shot reasoning
Omar Shaikh, Hongxin Zhang, William Held, Michael Bernstein, and Diyi Yang. 2023 · 2023
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Understanding factual errors in summarization: Errors, summarizers, datasets, error detectors
Liyan Tang, Tanya Goyal, Alex Fabbri, Philippe Laban, Jiacheng Xu, Semih Yavuz, Wojciech Kryscinski, Justin Rousseau, and Greg Durrett. 2023 · 2023
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