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Healthcare question answering assistance aims to provide customer healthcare information, which widely appears in both Web and mobile Internet.
Dbpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives. 2007 · 2007
Earlier work this paper cites.
What is the Jeopardy model? A quasi-synchronous grammar for QA. In Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL) . 22–32
Mengqiu Wang, Noah A Smith, and Teruko Mitamura. 2007 · 2007
Earlier work this paper cites.
Freebase: a collaboratively created graph database for structuring human knowledge. In SIGMOD . AcM, 1247–1250
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
Earlier work this paper cites.
Dynamic pooling and unfolding recursive autoencoders for paraphrase detection. In Advances in neural information processing systems . 801–809
Richard Socher, Eric H Huang, Jeffrey Pennin, Christopher D Manning, and Andrew Y Ng. 2011 · 2011
Earlier work this paper cites.
Empirical evaluation of gated recurrent neural networks on sequence modeling
Junyoung Chung, Caglar Gulcehre, KyungHyun Cho, and Yoshua Bengio. 2014 · 2014
Earlier work this paper cites.
End-to-end memory networks. In Advances in neural information processing systems . 2440–2448
Sainbayar Sukhbaatar, Jason Weston, Rob Fergus, et al · 2015
Earlier work this paper cites.
Towards ai-complete question answering: A set of prerequisite toy tasks
Jason Weston, Antoine Bordes, Sumit Chopra, Alexander M Rush, Bart van Merriënboer, Armand Joulin, and Tomas Mikolov. 2015 · 2015
Earlier work this paper cites.
Combining retrieval, statistics, and inference to answer elementary science questions. In AAAI
Peter Clark, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Oyvind Tafjord, Peter Turney, and Daniel Khashabi. 2016 · 2016
Earlier work this paper cites.
Deep residual learning for image recognition. In CVPR . 770–778
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
Earlier work this paper cites.
Semi-supervised classification with graph convolutional networks
Thomas N Kipf and Max Welling. 2016 · 2016
Earlier work this paper cites.
Ask me anything: Dynamic memory networks for natural language processing. In ICML . 1378–1387
Ankit Kumar, Ozan Irsoy, Peter Ondruska, Mohit Iyyer, James Bradbury, Ishaan Gulrajani, Victor Zhong, Romain Paulus, and Richard Socher. 2016 · 2016
Earlier work this paper cites.
A decomposable attention model for natural language inference
Ankur P Parikh, Oscar Täckström, Dipanjan Das, and Jakob Uszkoreit. 2016 · 2016
Earlier work this paper cites.
Squad: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Earlier work this paper cites.
Bidirectional attention flow for machine comprehension. In ICLR
Minjoon Seo, Aniruddha Kembhavi, Ali Farhadi, and Hannaneh Hajishirzi. 2016 · 2016
Earlier work this paper cites.
Reading wikipedia to answer open-domain questions
Danqi Chen, Adam Fisch, Jason Weston, and Antoine Bordes. 2017 · 2017
Earlier work this paper cites.
Triviaqa: A large scale distantly supervised challenge dataset for reading comprehension
Mandar Joshi, Eunsol Choi, Daniel S Weld, and Luke Zettlemoyer. 2017 · 2017
Earlier work this paper cites.
Learning what is essential in questions. In Proceedings of the 21st Conference on Computational Natural Language Learning (CoNLL 2017) . 80–89
Daniel Khashabi, Tushar Khot, Ashish Sabharwal, and Dan Roth. 2017 · 2017
Cited alongside, same era.
Task-oriented query reformulation with reinforcement learning
Rodrigo Nogueira and Kyunghyun Cho. 2017 · 2017
Cited alongside, same era.
Reasonet: Learning to stop reading in machine comprehension. In SIGKDD . ACM, 1047–1055
Yelong Shen, Po-Sen Huang, Jianfeng Gao, and Weizhu Chen. 2017 · 2017
Cited alongside, same era.
Conceptnet 5.5: An open multilingual graph of general knowledge. In AAAI
Robert Speer, Joshua Chin, and Catherine Havasi. 2017 · 2017
Cited alongside, same era.
Dcn+: Mixed objective and deep residual coattention for question answering. In ICLR
Caiming Xiong, Victor Zhong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Linfeng Song, Zhiguo Wang, Mo Yu, Yue Zhang, Radu Florian, and Daniel Gildea. 2018 · 2018
Later among the works it cites.
R 3: Reinforced ranker-reader for open-domain question answering. In AAAI
Shuohang Wang, Mo Yu, Xiaoxiao Guo, Zhiguo Wang, Tim Klinger, Wei Zhang, Shiyu Chang, Gerry Tesauro, Bowen Zhou, and Jing Jiang. 2018 · 2018
Later among the works it cites.
Constructing datasets for multi-hop reading comprehension across documents
Johannes Welbl, Pontus Stenetorp, and Sebastian Riedel. 2018 · 2018
Later among the works it cites.
Ncrf++: An open-source neural sequence labeling toolkit
Jie Yang and Yue Zhang. 2018 · 2018
Later among the works it cites.
Wikiqa: A challenge dataset for open-domain question answering. In EMNLP . 2013–2018
Yi Yang, Wen-tau Yih, and Christopher Meek. 2015 · 2018
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Commonsense for generative multi-hop question answering tasks
Lisa Bauer, Yicheng Wang, and Mohit Bansal. 2018 · 2018
Cited alongside, same era.
Think you have solved question answering? try arc, the ai2 reasoning challenge
Peter Clark, Isaac Cowhey, Oren Etzioni, Tushar Khot, Ashish Sabharwal, Carissa Schoenick, and Oyvind Tafjord. 2018 · 2018
Cited alongside, same era.
Question answering by reasoning across documents with graph convolutional networks
Nicola De Cao, Wilker Aziz, and Ivan Titov. 2018 · 2018
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2018 · 2018
Cited alongside, same era.
Universal language model fine-tuning for text classification
Jeremy Howard and Sebastian Ruder. 2018 · 2018
Cited alongside, same era.
Training a ranking function for open-domain question answering
Phu Mon Htut, Samuel R Bowman, and Kyunghyun Cho. 2018 · 2018
Cited alongside, same era.
Scitail: A textual entailment dataset from science question answering. In AAAI
Tushar Khot, Ashish Sabharwal, and Peter Clark. 2018 · 2018
Cited alongside, same era.
Later among the works it cites.
Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W Cohen, Ruslan Salakhutdinov, and Christopher D Manning. 2018 · 2018
Later among the works it cites.
Yu Cao, Meng Fang, and Dacheng Tao. 2019 · 2019
Later among the works it cites.
Multi-hop Question Answering via Reasoning Chains
Jifan Chen, Shih-ting Lin, and Greg Durrett. 2019 · 2019
Later among the works it cites.
Multi-step retriever-reader interaction for scalable open-domain question answering
Rajarshi Das, Shehzaad Dhuliawala, Manzil Zaheer, and Andrew McCallum. 2019 · 2019
Later among the works it cites.
Self-assembling modular networks for interpretable multi-hop reasoning
Yichen Jiang and Mohit Bansal. 2019 · 2019
Later among the works it cites.
Biobert: pre-trained biomedical language representation model for biomedical text mining
Jinhyuk Lee, Wonjin Yoon, Sungdong Kim, Donghyeon Kim, Sunkyu Kim, Chan Ho So, and Jaewoo Kang. 2019 · 2019
Later among the works it cites.
Generative question refinement with deep reinforcement learning in retrieval-based QA system. In CIKM . 1643–1652
Ye Liu, Chenwei Zhang, Xiaohui Yan, Yi Chang, and Philip S Yu. 2019 · 2019
Later among the works it cites.
Answering complex open-domain questions through iterative query generation
Peng Qi, Xiaowen Lin, Leo Mehr, Zijian Wang, and Christopher D Manning. 2019 · 2019
Later among the works it cites.
HEAD-QA: A Healthcare Dataset for Complex Reasoning
David Vilares and Carlos Gómez-Rodríguez. 2019 · 2019
Later among the works it cites.
Latent Question Reformulation and Information Accumulation for Multi-Hop Machine Reading
Quentin Grail, Julien Perez, and Eric Gaussier. 2020 · 2020
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