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We consider the problem of better modeling query-cluster interactions to facilitate query focused multi-document summarization (QFS).
Simple applications of BERT for ad hoc document retrieval
Wei Yang, Haotian Zhang, and Jimmy Lin. 2019 · 1903
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Deeper text understanding for ir with contextual neural language modeling
Zhuyun Dai and Jamie Callan. 2019 · 1905
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Retrieval and novelty detection at the sentence level
James Allan, Courtney Wade, and Alvaro Bolivar. 2003 · 2003
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Automatic evaluation of summaries using n-gram co-occurrence statistics
Chin-Yew Lin and Eduard Hovy. 2003 · 2003
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Lexrank: Graph-based lexical centrality as salience in text summarization
Günes Erkan and Dragomir R Radev. 2004 · 2004
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DUC 2005: Evaluation of question-focused summarization systems
Hoa Trang Dang. 2006 · 2005
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Manifold-ranking based topic-focused multi-document summarization
Xiaojun Wan, Jianwu Yang, and Jianguo Xiao. 2007 · 2007
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Topic-driven multi-document summarization with encyclopedic knowledge and spreading activation
Vivi Nastase. 2008 · 2008
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The New York Times Annotated Corpus
Evan Sandhaus. 2008 · 2008
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Using only cross-document relationships for both generic and topic-focused multi-document summarizations
Xiaojun Wan. 2008 · 2008
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Query-focused summaries or query-biased summaries?
Rahul Katragadda and Vasudeva Varma. 2009 · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson, Hugo Zaragoza, et al. 2009 · 2009
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Topic analysis for topic-focused multi-document summarization
Xiaojun Wan. 2009 · 2009
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Graph-based multi-modality learning for topic-focused multi-document summarization
Xiaojun Wan and Jianguo Xiao. 2009 · 2009
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Tree edit models for recognizing textual entailments, paraphrases, and answers to questions
Michael Heilman and Noah A Smith. 2010 · 2010
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Auto-encoding variational bayes
Diederik P Kingma and Max Welling. 2013 · 2013
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Answer extraction as sequence tagging with tree edit distance
Xuchen Yao, Benjamin Van Durme, Chris Callison-Burch, and Peter Clark. 2013 · 2013
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Stochastic backpropagation and approximate inference in deep generative models
Danilo Jimenez Rezende, Shakir Mohamed, and Daan Wierstra. 2014 · 2014
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Ctsum: extracting more certain summaries for news articles
Xiaojun Wan and Jianmin Zhang. 2014 · 2014
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Teaching machines to read and comprehend
Karl Moritz Hermann, Tomáš Kočiský, Edward Grefenstette, Lasse Espeholt, Will Kay, Mustafa Suleyman, and Phil Blunsom. 2015 · 2015
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NEWSROOM: A dataset of 1.3 million summaries with diverse extractive strategies
Max Grusky, Mor Naaman, and Yoav Artzi. 2018 · 2018
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Adaptive document retrieval for deep question answering
Bernhard Kratzwald and Stefan Feuerriegel. 2018 · 2018
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Ranking sentences for extractive summarization with reinforcement learning
Shashi Narayan, Shay B. Cohen, and Mirella Lapata. 2018 · 2018
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2018 · 2018
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Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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Constructing datasets for multi-hop reading comprehension across documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
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Reader-aware multi-document summarization via sparse coding
Piji Li, Lidong Bing, Wai Lam, Hang Li, and Yi Liao. 2015 · 2015
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Topic concentration in query focused summarization datasets
Tal Baumel, Raphael Cohen, and Michael Elhadad. 2016 · 2016
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A deep relevance matching model for ad-hoc retrieval
Jiafeng Guo, Yixing Fan, Qingyao Ai, and W Bruce Croft. 2016 · 2016
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Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Cicero dos Santos, Caglar Gulcehre, and Bing Xiang. 2016 · 2016
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Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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Unsupervised query-focused multi-document summarization using the cross entropy method
Guy Feigenblat, Haggai Roitman, Odellia Boni, and David Konopnicki. 2017 · 2017
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TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel Weld, and Luke Zettlemoyer. 2017 · 2017
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WikiQA: A challenge dataset for open-domain question answering
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 2018
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HotpotQA: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
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Cross-domain modeling of sentence-level evidence for document retrieval
Zeynep Akkalyoncu Yilmaz, Wei Yang, Haotian Zhang, and Jimmy Lin. 2019 · 2019
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SEQˆ3: Differentiable sequence-to-sequence-to-sequence autoencoder for unsupervised abstractive sentence compression
Christos Baziotis, Ion Androutsopoulos, Ioannis Konstas, and Alexandros Potamianos. 2019 · 2019
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MeanSum: A neural model for unsupervised multi-document abstractive summarization
Eric Chu and Peter Liu. 2019 · 2019
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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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Answering complex open-domain questions through iterative query generation
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, and Christopher D. Manning. 2019 · 2019
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Multi-passage bert: A globally normalized BERT model for open-domain question answering
Zhiguo Wang, Patrick Ng, Xiaofei Ma, Ramesh Nallapati, and Bing Xiang. 2019 · 2019
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Cascaded attention based unsupervised information distillation for compressive summarization
Piji Li, Wai Lam, Lidong Bing, Weiwei Guo, and Hang Li. 2017a · 2090
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