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The progress in Query-focused Multi-Document Summarization (QMDS) has been limited by the lack of sufficient largescale high-quality training datasets.
Computer-intensive methods for testing hypotheses
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Bayesian query-focused summarization
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Scientific Paper Summarization Using Citation Summary Networks
Qazvinian, V.; and Radev, D. R. 2008 · 2008
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Exploring content models for multi-document summarization
Haghighi, A.; and Vanderwende, L. 2009 · 2009
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Using query expansion in graph-based approach for query-focused multi-document summarization
Zhao, L.; Wu, L.; and Huang, X. 2009 · 2009
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Opinosis: A graph based approach to abstractive summarization of highly redundant opinions
Ganesan, K.; Zhai, C.; and Han, J. 2010 · 2010
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Annotated Gigaword
Napoles, C.; Gormley, M.; and Durme, B. V. 2012 · 2012
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He, K.; Zhang, X.; Ren, S.; and Sun, J. 2015 · 2015
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Hermann, K. M.; Kocisky, T.; Grefenstette, E.; Espeholt, L.; Kay, W.; Suleyman, M.; and Blunsom, P. 2015 · 2015
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A neural attention model for abstractive sentence summarization
Rush, A. M.; Chopra, S.; and Weston, J. 2015 · 2015
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Neural summarization by extracting sentences and words
Cheng, J.; and Lapata, M. 2016 · 2016
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Deep communicating agents for abstractive summarization
Celikyilmaz, A.; Bosselut, A.; He, X.; and Choi, Y. 2018 · 2018
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Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Chen, Y.-C.; and Bansal, M. 2018 · 2018
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Bottom-up abstractive summarization
Gehrmann, S.; Deng, Y.; and Rush, A. M. 2018 · 2018
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Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Grusky, M.; Naaman, M.; and Artzi, Y. 2018 · 2018
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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Guo, H.; Pasunuru, R.; and Bansal, M. 2018 · 2018
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SentencePiece: A simple and language independent subword tokenizer and detokenizer for Neural Text Processing
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Abstractive sentence summarization with attentive recurrent neural networks
Chopra, S.; Auli, M.; and Rush, A. M. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Nallapati, R.; Zhou, B.; dos santos, C. N.; Gulcehre, C.; and Xiang, B. 2016 · 2016
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Classify or select: Neural architectures for extractive document summarization
Nallapati, R.; Zhou, B.; and Ma, M. 2016 · 2016
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Google’s neural machine translation system: Bridging the gap between human and machine translation
Wu, Y.; Schuster, M.; Chen, Z.; Le, Q. V.; Norouzi, M.; Macherey, W.; Krikun, M.; Cao, Y.; Gao, Q.; Macherey, K.; et al. 2016 · 2016
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Unsupervised query-focused multi-document summarization using the cross entropy method
Feigenblat, G.; Roitman, H.; Boni, O.; and Konopnicki, D. 2017 · 2017
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A structured self-attentive sentence embedding
Lin, Z.; Feng, M.; Santos, C. N. d.; Yu, M.; Xiang, B.; Zhou, B.; and Bengio, Y. 2017 · 2017
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Kudo, T.; and Richardson, J. 2018 · 2018
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Lebanoff, L.; Song, K.; and Liu, F. 2018 · 2018
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Generating wikipedia by summarizing long sequences
Liu, P. J.; Saleh, M.; Pot, E.; Goodrich, B.; Sepassi, R.; Kaiser, L.; and Shazeer, N. 2018 · 2018
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Ranking Sentences for Extractive Summarization with Reinforcement Learning
Narayan, S.; Cohen, S. B.; and Lapata, M. 2018 · 2018
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Adapting neural single-document summarization model for abstractive multi-document summarization: A pilot study
Zhang, J.; Tan, J.; and Wan, X. 2018 · 2018
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Multi-News: a large-scale multi-document summarization dataset and abstractive hierarchical model
Fabbri, A. R.; Li, I.; She, T.; Li, S.; and Radev, D. R. 2019 · 2019
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Hierarchical Transformers for Multi-Document Summarization
Liu, Y.; and Lapata, M. 2019 · 2019
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A Large-Scale Multi-Document Summarization Dataset from the Wikipedia Current Events Portal
Ghalandari, D. G.; Hokamp, C.; Pham, N. T.; Glover, J.; and Ifrim, G. 2020 · 2020
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Unsupervised Dual-Cascade Learning with Pseudo-Feedback Distillation for Query-Focused Extractive Summarization
Roitman, H.; Feigenblat, G.; Cohen, D.; Boni, O.; and Konopnicki, D. 2020 · 2020
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