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Multi-document question generation focuses on generating a question that covers the common aspect of multiple documents.
Multi-style generative reading comprehension
Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, and Junji Tomita. 2019 · 1901
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Recent advances in neural question generation
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Multi-passage machine reading comprehension with cross-passage answer verification
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A statistical approach to mechanized encoding and searching of literary information
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Query expansion using local and global document analysis
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Long short-term memory
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Policy gradient methods for reinforcement learning with function approximation
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Proceedings of the 8th text retrieval conference
EM Voorhees. 1999 · 1999
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A common theory of information fusion from multiple text sources step one: Cross-document structure
Dragomir Radev. 2000 · 2000
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Statistical multi-source translation
Franz Josef Och and Hermann Ney. 2001 · 2001
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The trec question answering track
Ellen M. Voorhees. 2001 · 2001
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Model-based feedback in the language modeling approach to information retrieval
Chengxiang Zhai and John Lafferty. 2001 · 2001
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Cumulated gain-based evaluation of ir techniques
Kalervo Järvelin and Jaana Kekäläinen. 2002 · 2002
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Bleu: a method for automatic evaluation of machine translation
Kishore Papineni, Salim Roukos, Todd Ward, and Wei-Jing Zhu. 2002 · 2002
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Evaluating web-based question answering systems
Dragomir R. Radev, Hong Qi, Harris Wu, and Weiguo Fan. 2002 · 2002
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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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Peng Qi, Yuhao Zhang, and Christopher D Manning. 2020 · 2004
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Recall, precision and average precision
Mu Zhu. 2004 · 2004
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Meteor: An automatic metric for mt evaluation with improved correlation with human judgments
Satanjeev Banerjee and Alon Lavie. 2005 · 2005
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Contrastive estimation: Training log-linear models on unlabeled data
Noah A. Smith and Jason Eisner. 2005 · 2005
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Latent concept expansion using markov random fields
Donald Metzler and W. Bruce Croft. 2007 · 2007
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Selecting good expansion terms for pseudo-relevance feedback
Guihong Cao, Jian-Yun Nie, Jianfeng Gao, and Stephen Robertson. 2008 · 2008
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Adaptive natural language generation in dialogue using reinforcement learning
Oliver Lemon. 2008 · 2008
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An exploration of document impact on graph-based multi-document summarization
Xiaojun Wan. 2008 · 2008
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Search-based structured prediction
Hal Daumé, John Langford, and Daniel Marcu. 2009 · 2009
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Learning lexical alignment policies for generating referring expressions for spoken dialogue systems
Srinivasan Janarthanam and Oliver Lemon. 2009 · 2009
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Natural language generation as planning under uncertainty for spoken dialogue systems
Verena Rieser and Oliver Lemon. 2009 · 2009
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The probabilistic relevance framework: Bm25 and beyond
Stephen Robertson and Hugo Zaragoza. 2009 · 2009
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Query expansion based on pseudo relevance feedback from definition clusters
Delphine Bernhard. 2010 · 2010
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Hierarchical reinforcement learning for adaptive text generation
Nina Dethlefs and Heriberto Cuayáhuitl. 2010 · 2010
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Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
Michael Gutmann and Aapo Hyvärinen. 2010 · 2010
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Rectified linear units improve restricted boltzmann machines
Vinod Nair and Geoffrey E. Hinton. 2010 · 2010
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Ensemble-based classifiers
Lior Rokach. 2010 · 2010
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The first question generation shared task evaluation challenge
Vasile Rus, Brendan Wyse, Paul Piwek, Mihai Lintean, Svetlana Stoyanchev, and Cristian Moldovan. 2010 · 2010
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Natural language processing (almost) from scratch
Ronan Collobert, Jason Weston, Léon Bottou, Michael Karlen, Koray Kavukcuoglu, and Pavel Kuksa. 2011 · 2011
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Automatic factual question generation from text
Michael Heilman. 2011 · 2011
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Image-grounded conversations: Multimodal context for natural question and response generation
Nasrin Mostafazadeh, Chris Brockett, Bill Dolan, Michel Galley, Jianfeng Gao, Georgios Spithourakis, and Lucy Vanderwende. 2017 · 2017
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Task-oriented query reformulation with reinforcement learning
Rodrigo Nogueira and Kyunghyun Cho. 2017 · 2017
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Reinforced video captioning with entailment rewards
Ramakanth Pasunuru and Mohit Bansal. 2017 · 2017
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A deep reinforced model for abstractive summarization
Romain Paulus, Caiming Xiong, and Richard Socher. 2017 · 2017
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A theoretical framework for conversational search
Filip Radlinski and Nick Craswell. 2017 · 2017
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A comparison of greedy and optimal assessment of natural language student input using word-to-word similarity metrics
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Translating embeddings for modeling multi-relational data
Antoine Bordes, Nicolas Usunier, Alberto Garcia-Duran, Jason Weston, and Oksana Yakhnenko. 2013 · 2013
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Recurrent continuous translation models
Nal Kalchbrenner and Phil Blunsom. 2013 · 2013
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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg S Corrado, and Jeff Dean. 2013 · 2013
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Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio. 2014 · 2014
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Findings of the 2014 workshop on statistical machine translation
Ondrej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, et al. 2014 · 2014
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Self-critical sequence training for image captioning
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Get to the point: Summarization with pointer-generator networks
Abigail See, Peter J. Liu, and Christopher D. Manning. 2017 · 2017
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Shikhar Sharma, Layla El Asri, Hannes Schulz, and Jeremie Zumer. 2017 · 2017
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A unified query-based generative model for question generation and question answering
Linfeng Song, Zhiguo Wang, and Wael Hamza. 2017 · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
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Deep communicating agents for abstractive summarization
Asli Celikyilmaz, Antoine Bosselut, Xiaodong He, and Yejin Choi. 2018 · 2018
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Unsupervised neural multi-document abstractive summarization
Eric Chu and Peter J. Liu. 2018 · 2018
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Multi-input attention for unsupervised OCR correction
Rui Dong and David Smith. 2018 · 2018
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A reinforcement learning framework for natural question generation using bi-discriminators
Zhihao Fan, Zhongyu Wei, Siyuan Wang, Yang Liu, and Xuanjing Huang. 2018 · 2018
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Neural approaches to conversational AI
Jianfeng Gao, Michel Galley, and Lihong Li. 2018 · 2018
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Neural generation of diverse questions using answer focus, contextual and linguistic features
Vrindavan Harrison and Marilyn Walker. 2018 · 2018
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Adapting the neural encoder-decoder framework from single to multi-document summarization
Logan Lebanoff, Kaiqiang Song, and Fei Liu. 2018 · 2018
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NPRF: A neural pseudo relevance feedback framework for ad-hoc information retrieval
Canjia Li, Yingfei Sun, Ben He, Le Wang, Kai Hui, Andrew Yates, Le Sun, and Jungang Xu. 2018a · 2018
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Input combination strategies for multi-source transformer decoder
Jindřich Libovický, Jindřich Helcl, and David Mareček. 2018 · 2018
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Generating wikipedia by summarizing long sequences
Peter J Liu, Mohammad Saleh, Etienne Pot, Ben Goodrich, Ryan Sepassi, Lukasz Kaiser, and Noam Shazeer. 2018 · 2018
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Multi-source neural machine translation with missing data
Yuta Nishimura, Katsuhito Sudoh, Graham Neubig, and Satoshi Nakamura. 2018 · 2018
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Deep contextualized word representations
Matthew E. Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Learning to ask good questions: Ranking clarification questions using neural expected value of perfect information
Sudha Rao and Hal Daumé III. 2018 · 2018
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Leveraging context information for natural question generation
Linfeng Song, Zhiguo Wang, Wael Hamza, Yue Zhang, and Daniel Gildea. 2018 · 2018
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Answer-focused and position-aware neural question generation
Xingwu Sun, Jing Liu, Yajuan Lyu, Wei He, Yanjun Ma, and Shi Wang. 2018 · 2018
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A deep cascade model for multi-document reading comprehension
Ming Yan, Jiangnan Xia, Chen Wu, Bin Bi, Zhongzhou Zhao, Ji Zhang, Luo Si, Rui Wang, Wei Wang, and Haiqing Chen. 2018 · 2018
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Adapting neural single-document summarization model for abstractive multi-document summarization: A pilot study
Jianmin Zhang, Jiwei Tan, and Xiaojun Wan. 2018 · 2018
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