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Transformer based architectures are recently used for the task of answering questions over tables.
A BERT baseline for the natural questions
Chris Alberti, Kenton Lee, and Michael Collins. 2019b · 1901
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Synthetic QA corpora generation with roundtrip consistency
Chris Alberti, Daniel Andor, Emily Pitler, Jacob Devlin, and Michael Collins. 2019a · 1906
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Schemaless queries over document tables with dependencies
Mustafa Canim, Cristina Cornelio, Arun Iyengar, Ryan Musa, and Mariano Rodriguez. 2019 · 1911
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Retrospective reader for machine reading comprehension
Zhuosheng Zhang, Junjie Yang, and Hai Zhao. 2020b · 2001
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An analysis of the askmsr question-answering system
Eric Brill, Susan Dumais, and Michele Banko. 2002 · 2002
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Open-domain question answering from large text collections
Marius Paşca. 2003 · 2003
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An exploration of the principles underlying redundancy-based factoid question answering
Jimmy Lin. 2007 · 2007
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Webtables: exploring the power of tables on the web
Michael J Cafarella, Alon Halevy, Daisy Zhe Wang, Eugene Wu, and Yang Zhang. 2008 · 2008
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Recovering semantics of tables on the web
Petros Venetis, Alon Halevy, Jayant Madhavan, Marius Pasca, Warren Shen, Fei Wu, Gengxin Miao, and Chung Wu. 2011 · 2011
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Finding related tables
Anish Das Sarma, Lujun Fang, Nitin Gupta, Alon Halevy, Hongrae Lee, Fei Wu, Reynold Xin, and Cong Yu. 2012 · 2012
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Answering table queries on the web using column keywords
Rakesh Pimplikar and Sunita Sarawagi. 2012 · 2012
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Infogather: entity augmentation and attribute discovery by holistic matching with web tables
Mohamed Yakout, Kris Ganjam, Kaushik Chakrabarti, and Surajit Chaudhuri. 2012 · 2012
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Infogather+ semantic matching and annotation of numeric and time-varying attributes in web tables
Meihui Zhang and Kaushik Chakrabarti. 2013 · 2013
Cited alongside, same era.
Compositional semantic parsing on semi-structured tables
Panupong Pasupat and Percy Liang. 2015 · 2015
Cited alongside, same era.
Tabmcq: A dataset of general knowledge tables and multiple-choice questions
Sujay Kumar Jauhar, Peter Turney, and Eduard Hovy. 2016 · 2016
Cited alongside, same era.
SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
Cited alongside, same era.
Table cell search for question answering
Huan Sun, Hao Ma, Xiaodong He, Wen-tau Yih, Yu Su, and Xifeng Yan. 2016 · 2016
Cited alongside, same era.
Attention is all you need
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 2019
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A discrete hard em approach for weakly supervised question answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, and Luke Zettlemoyer. 2019 · 2019
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Frustratingly easy natural question answering
Lin Pan, Rishav Chakravarti, Anthony Ferritto, Michael Glass, Alfio Gliozzo, Salim Roukos, Radu Florian, and Avirup Sil. 2019 · 2019
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Learning semantic parsers from denotations with latent structured alignments and abstract programs
Bailin Wang, Ivan Titov, and Mirella Lapata. 2019b · 2019
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allennlp-semparse
Matt Gardner, Dirk Groeneveld, Brendan Roof, Pradeep Dasigi, Michael Schmitz, and Nitish Gupta. 2020 · 2020
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Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Ł ukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Seq2sql: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
Cited alongside, same era.
Know what you don’t know: Unanswerable questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
Cited alongside, same era.
Ad hoc table retrieval using semantic similarity
Shuo Zhang and Krisztian Balog. 2018 · 2018
Cited alongside, same era.
Iterative search for weakly supervised semantic parsing
Pradeep Dasigi, Matt Gardner, Shikhar Murty, Luke Zettlemoyer, and Eduard Hovy. 2019 · 2019
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
Cited alongside, same era.
Natural Questions: a benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Matthew Kelcey, Jacob Devlin, Kenton Lee, Kristina N. Toutanova, Llion Jones, Ming-Wei Chang, Andrew Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Cited alongside, same era.
Later among the works it cites.
Span selection pre-training for question answering
Michael R. Glass, Alfio Gliozzo, Rishav Chakravarti, Anthony Ferritto, Lin Pan, G. P. Shrivatsa Bhargav, Dinesh Garg, and Avirup Sil. 2020b · 2020
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Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A Smith. 2020 · 2020
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TaPas: Weakly supervised table parsing via pre-training
Jonathan Herzig, Pawel Krzysztof Nowak, Thomas Müller, Francesco Piccinno, and Julian Eisenschlos. 2020 · 2020
Later among the works it cites.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2020 · 2020
Later among the works it cites.
Ad hoc table retrieval using intrinsic and extrinsic similarities
Roee Shraga, Haggai Roitman, Guy Feigenblat, and Mustafa Canim. 2020 · 2020
Later among the works it cites.
TaBERT: Pretraining for joint understanding of textual and tabular data
Pengcheng Yin, Graham Neubig, Wen-tau Yih, and Sebastian Riedel. 2020 · 2020
Later among the works it cites.