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Query Focused Summarization (QFS) has been addressed mostly using extractive methods.
Long short-term memory
Sepp Hochreiter and Jürgen Schmidhuber. 1997 · 1997
Earlier work this paper cites.
English gigaword corpus
David Graff and C Cieri. 2003 · 2003
Earlier work this paper cites.
Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin. 2004 · 2004
Earlier work this paper cites.
Overview of duc 2005
Hoa Trang Dang. 2005 · 2005
Earlier work this paper cites.
Query-focused summarization by supervised sentence ranking and skewed word distributions
Seeger Fisher and Brian Roark. 2006 · 2006
Earlier work this paper cites.
Overview of duc 2006
TD Hoa. 2006 · 2006
Earlier work this paper cites.
The new york times annotated corpus
Evan Sandhaus. 2008 · 2008
Earlier work this paper cites.
Bayesian query-focused summarization
Hal Daumé III. 2009 · 2009
Earlier work this paper cites.
Exploring content models for multi-document summarization
Aria Haghighi and Lucy Vanderwende. 2009 · 2009
Cited alongside, same era.
Deterministic coreference resolution based on entity-centric, precision-ranked rules
Heeyoung Lee, Angel Chang, Yves Peirsman, Nathanael Chambers, Mihai Surdeanu, and Dan Jurafsky. 2013 · 2013
Cited alongside, same era.
Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
Cited alongside, same era.
Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
Cited alongside, same era.
An unsupervised multi-document summarization framework based on neural document model
Shulei Ma, Zhi-Hong Deng, and Yunlun Yang. 2016 · 2016
Later among the works it cites.
Abstractive text summarization using sequence-to-sequence rnns and beyond
Ramesh Nallapati, Bowen Zhou, Caglar Gulcehre, Bing Xiang, et al. 2016 · 2016
Later among the works it cites.
Unsupervised query-focused multi-document summarization using the cross entropy method
Guy Feigenblat, Haggai Roitman, Odellia Boni, and David Konopnicki. 2017 · 2017
Later among the works it cites.
Summarunner: A recurrent neural network based sequence model for extractive summarization of documents
Ramesh Nallapati, Feifei Zhai, and Bowen Zhou. 2017 · 2017
Later among the works it cites.
Diversity driven attention model for query-based abstractive summarization
Preksha Nema, Mitesh Khapra, Anirban Laha, and Balaraman Ravindran. 2017 · 2017
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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
Cited alongside, same era.
A neural attention model for abstractive sentence summarization
Alexander M Rush, Sumit Chopra, and Jason Weston. 2015 · 2015
Cited alongside, same era.
Topic concentration in query focused summarization datasets
Tal Baumel, Raphael Cohen, and Michael Elhadad. 2016 · 2016
Cited alongside, same era.
Later among the works it cites.
A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
Later among the works it cites.
Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
Later among the works it cites.