Who cites «Searching for Effective Neural Extractive Summarization: What Works and What's Next»
- PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive SummarizationarXiv:1912.08777Jingqing Zhang, Yao Zhao, Mohammad Saleh, et al.2019 · 1,816 citations
- Pre-trained Models for Natural Language Processing: A SurveyarXiv:2003.08271 · SCIENCE CHINA Technological Sciences,2020, 63, 1872-1897Xipeng Qiu, Tianxiang Sun, Yige Xu, et al.2020 · 1,753 citations
- BARTScore: Evaluating Generated Text as Text GenerationarXiv:2106.11520Weizhe Yuan, Graham Neubig, Pengfei Liu2021 · 807 citationsExtractive Summarization as Text MatchingAnnual Meeting of the Association for Computational Linguistics (ACL)Ming Zhong, Pengfei Liu, Yiran Chen, et al.2020 · 569 citationsQMSum: A New Benchmark for Query-based Multi-domain Meeting SummarizationConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Ming Zhong, Da Yin, Tao Yu, et al.2021 · 400 citationsDiscourse-Aware Neural Extractive Text SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL)Jiacheng Xu, Zhe Gan, Yu Cheng, et al.2019 · 385 citationsRe-evaluating Evaluation in Text SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP)Manik Bhandari, Pranav Narayan Gour, Atabak Ashfaq, et al.2020 · 258 citationsTowards a Unified Multi-Dimensional Evaluator for Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP)Ming Zhong, Yang Liu, Da Yin, et al.2022 · 205 citationsWhat Have We Achieved on Text Summarization?Conference on Empirical Methods in Natural Language Processing (EMNLP)Dandan Huang, Leyang Cui, Sen Yang, et al.2020 · 143 citations
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