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Query-based open-domain NLP tasks require information synthesis from long and diverse web results.
Transformer-xl: Attentive language models beyond a fixed-length context
Zihang Dai, Zhilin Yang, Yiming Yang, William W Cohen, Jaime Carbonell, Quoc V Le, and Ruslan Salakhutdinov. 2019 · 1901
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Lattice cnns for matching based chinese question answering
Yuxuan Lai, Yansong Feng, Xiaohan Yu, Zheng Wang, Kun Xu, and Dongyan Zhao. 2019 · 1902
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Multi-news: a large-scale multi-document summarization dataset and abstractive hierarchical model
Alexander R Fabbri, Irene Li, Tianwei She, Suyi Li, and Dragomir R Radev. 2019 · 1906
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Information fusion in the context of multi-document summarization
Regina Barzilay, Kathleen R McKeown, and Michael Elhadad. 1999 · 1999
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A knowledge-based system for context dependent evaluation of remote sensing data
Jürgen Bückner, Martin Pahl, O Stahlhut, and C-E Liedtke. 2002 · 2002
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A noisy-channel model for document compression
Hal Daumé III and Daniel Marcu. 2002 · 2002
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Improving machine learning approaches to coreference resolution
Vincent Ng and Claire Cardie. 2002 · 2002
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Question answering using web news as knowledge base
Zhiping Zheng. 2003 · 2003
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Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007 · 2007
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A multi-document multi-lingual automatic summarization system
Mohamad Ali Honarpisheh, Gholamreza Ghassem-Sani, and Ghassem Mirroshandel. 2008 · 2008
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A scalable global model for summarization
Dan Gillick and Benoit Favre. 2009 · 2009
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Opinosis: A graph based approach to abstractive summarization of highly redundant opinions
Kavita Ganesan, ChengXiang Zhai, and Jiawei Han. 2010 · 2010
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Jointly learning to extract and compress
Taylor Berg-Kirkpatrick, Dan Gillick, and Dan Klein. 2011 · 2011
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Learning structured embeddings of knowledge bases
Antoine Bordes, Jason Weston, Ronan Collobert, and Yoshua Bengio. 2011 · 2011
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Spectral networks and locally connected networks on graphs
Joan Bruna, Wojciech Zaremba, Arthur Szlam, and Yann LeCun. 2013 · 2013
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Learning new facts from knowledge bases with neural tensor networks and semantic word vectors
Danqi Chen, Richard Socher, Christopher D Manning, and Andrew Y Ng. 2013 · 2013
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Knowledge-based question answering as machine translation
Junwei Bao, Nan Duan, Ming Zhou, and Tiejun Zhao. 2014 · 2014
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A hybrid approach to multi-document summarization of opinions in reviews
Giuseppe Di Fabbrizio, Amanda Stent, and Robert Gaizauskas. 2014 · 2014
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Abstractive multi-document summarization via phrase selection and merging
Lidong Bing, Piji Li, Yi Liao, Wai Lam, Weiwei Guo, and Rebecca J Passonneau. 2015 · 2015
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Storylines for structuring massive streams of news
Piek Vossen, Tommaso Caselli, and Yiota Kontzopoulou. 2015 · 2015
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Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
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Graph-based neural multi-document summarization
Michihiro Yasunaga, Rui Zhang, Kshitijh Meelu, Ayush Pareek, Krishnan Srinivasan, and Dragomir Radev. 2017 · 2017
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Tal Baumel, Matan Eyal, and Michael Elhadad. 2018 · 2018
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Graph-to-sequence learning using gated graph neural networks
Daniel Beck, Gholamreza Haffari, and Trevor Cohn. 2018 · 2018
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Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
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Building event-centric knowledge graphs from news
Marco Rospocher, Marieke van Erp, Piek Vossen, Antske Fokkens, Itziar Aldabe, German Rigau, Aitor Soroa, Thomas Ploeger, and Tessel Bogaard. 2016 · 2016
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Neural machine translation of rare words with subword units
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016 · 2016
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Improving multi-document summarization via text classification
Ziqiang Cao, Wenjie Li, Sujian Li, and Furu Wei. 2017 · 2017
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Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
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Simple and effective multi-paragraph reading comprehension
Christopher Clark and Matt Gardner. 2017 · 2017
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Wanyun Cui, Yanghua Xiao, Haixun Wang, Yangqiu Song, Seung-won Hwang, and Wei Wang. 2017 · 2017
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Angela Fan, Mike Lewis, and Yann Dauphin. 2018 · 2018
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Canonical tensor decomposition for knowledge base completion
Timothée Lacroix, Nicolas Usunier, and Guillaume Obozinski. 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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Supervised open information extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan. 2018 · 2018
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Open domain question answering using early fusion of knowledge bases and text
Haitian Sun, Bhuwan Dhingra, Manzil Zaheer, Kathryn Mazaitis, Ruslan Salakhutdinov, and William W Cohen. 2018 · 2018
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Graph2seq: Graph to sequence learning with attention-based neural networks
Kun Xu, Lingfei Wu, Zhiguo Wang, Yansong Feng, Michael Witbrock, and Vadim Sheinin. 2018 · 2018
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Graph neural networks: A review of methods and applications
Jie Zhou, Ganqu Cui, Zhengyan Zhang, Cheng Yang, Zhiyuan Liu, and Maosong Sun. 2018 · 2018
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Eli5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 2019
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fairseq: A fast, extensible toolkit for sequence modeling
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