Question Answering
125 items from seriousran/awesome-qa ★771
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SQuAD1.0 rajpurkar.github.io
Question answering dataset that can be explored online, and a list of models performing well on that dataset.
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https://unifiedqa.apps.allenai.org/ unifiedqa.apps.allenai.org
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Children's Book Test uclmr.github.io
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Building a Question-Answering System from Scratch— Part 1 towardsdatascience.com
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LC-QuAD sda.cs.uni-bonn.de
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"A survey on question answering technology from an information retrieval perspective" sciencedirect.com
, Information Sciences, 2011.
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Neural Compositional Denotational Semantics for Question Answering research.fb.com
, Nitish Gupta, Mike Lewis, EMNLP, 2018
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Embodied Question Answering research.fb.com
, Abhishek Das, Samyak Datta, Georgia Gkioxari, Stefan Lee, Devi Parikh, and Dhruv Batra, CVPR, 2018
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Do explanations make VQA models more predictable to a human? research.fb.com
, Arjun Chandrasekaran, Viraj Prabhu, Deshraj Yadav, Prithvijit Chattopadhyay, and Devi Parikh, EMNLP, 2018
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Facebook DrQA research.fb.com
Applied to the SQuAD1.0 dataset. The SQuAD2.0 dataset has released. but DrQA is not tested yet.
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TinyBERT: Distilling BERT for Natural Language Understanding openreview.net
, Xiaoqi Jiao, et al., ICLR, 2020.
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ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators openreview.net
, Kevin Clark, et al., ICLR, 2020.
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"Ask the Right Questions: Active Question Reformulation with Reinforcement Learning" openreview.net
, Christian Buck and Jannis Bulian and Massimiliano Ciaramita and Wojciech Paweł Gajewski and Andrea Gesmundo and Neil Houlsby and Wei Wang, ICLR, 2018.
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"QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension" openreview.net
, Adams Wei Yu, David Dohan, Minh-Thang Luong, Rui Zhao, Kai Chen, Mohammad Norouzi, Quoc V. Le, ICLR, 2018.
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TriviaQA nlp.cs.washington.edu
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"Capturing Semantic Similarity for Entity Linking with Convolutional Neural Networks" nlp.cs.berkeley.edu
, Matthew Francis-Landau, Greg Durrett and Dan Klei, NAACL-HLT 2016.
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Why question answering is hard nicklothian.com
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MS MARCO msmarco.org
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"Question Answering in Restricted Domains: An Overview" mitpressjournals.org
, Diego Mollá and José Luis Vicedo, Computational Linguistics, 2007
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Paper microsoft.com
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"WIKIQA: A Challenge Dataset for Open-Domain Question Answering" microsoft.com
, Yi Yang, Wen-tau Yih, and Christopher Meek, EMNLP, 2015.
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"An Overview of Microsoft Deep QA System on Stanford WebQuestions Benchmark" microsoft.com
, Zhenghao Wang, Shengquan Yan, Huaming Wang, and Xuedong Huang, MSR-TR, 2014.
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"Web-based Question Answering: Revisiting AskMSR" microsoft.com
, Chen-Tse Tsai, Wen-tau Yih, and Christopher J.C. Burges, MSR-TR, 2015.
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"Question Answering with Knowledge Base, Web and Beyond" microsoft.com
, Yih, Scott Wen-tau and Ma, Hao, ACM SIGIR, 2016.
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WikiQA microsoft.com
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"Entity Linking with a Knowledge Base: Issues, Techniques, and Solutions" ieeexplore.ieee.org
, Wei Shen, Jianyong Wang, Jiawei Han, IEEE Transactions on Knowledge and Data Engineering(TKDE), 2014.
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"Introduction to “This is Watson" ieeexplore.ieee.org
, IBM Journal of Research and Development, D. A. Ferrucci, 2012.
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