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Open-domain extractive question answering works well on textual data by first retrieving candidate texts and then extracting the answer from those candidates.
RoBERTa: A robustly optimized BERT pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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The trec-8 question answering track report
Ellen M Voorhees and Dawn M Tice. 2000 · 2000
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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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Distributed representations of words and phrases and their compositionality
Tomas Mikolov, Ilya Sutskever, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013 · 2013
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RDF2Vec: RDF graph embeddings for data mining
Petar Ristoski and Heiko Paulheim. 2016 · 2016
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Seq2SQL: Generating structured queries from natural language using reinforcement learning
Victor Zhong, Caiming Xiong, and Richard Socher. 2017 · 2017
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Know what you don’t know: Unanswerable questions for SQuAD
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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Ad hoc table retrieval using semantic similarity
Shuo Zhang and Krisztian Balog. 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. 2019 · 2019
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Natural questions: A benchmark for question answering research
Tom Kwiatkowski, Jennimaria Palomaki, Olivia Redfield, Michael Collins, Ankur Parikh, Chris Alberti, Danielle Epstein, Illia Polosukhin, Jacob Devlin, Kenton Lee, Kristina Toutanova, Llion Jones, Matthew Kelcey, Ming-Wei Chang, Andrew M. Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov. 2019 · 2019
Cited alongside, same era.
Table2Vec: Neural word and entity embeddings for table population and retrieval
Li Zhang, Shuo Zhang, and Krisztian Balog. 2019 · 2019
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A latent model for ad hoc table retrieval
Ebrahim Bagheri and Feras Al-Obeidat. 2020 · 2020
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Turl: Table understanding through representation learning
Xiang Deng, Huan Sun, Alyssa Lees, You Wu, and Cong Yu. 2020 · 2020
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TaBERT: Pretraining for joint understanding of textual and tabular data
Pengcheng Yin, Graham Neubig, Wen-tau Yih, and Sebastian Riedel. 2020 · 2020
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Semantic models for the first-stage retrieval: A comprehensive review
Yinqiong Cai, Yixing Fan, Jiafeng Guo, Fei Sun, Ruqing Zhang, and Xueqi Cheng. 2021 · 2021
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Open question answering over tables and text
Wenhu Chen, Ming-Wei Chang, Eva Schlinger, William Wang, and William Cohen. 2021 · 2021
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Open domain question answering over tables via dense retrieval
Jonathan Herzig, Thomas Müller, Syrine Krichene, and Julian Eisenschlos. 2021 · 2021
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Dual reader-parser on hybrid textual and tabular evidence for open domain question answering
Alexander Hanbo Li, Patrick Ng, Peng Xu, Henghui Zhu, Zhiguo Wang, and Bing Xiang. 2021 · 2021
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Understanding tables with intermediate pre-training
Julian Eisenschlos, Syrine Krichene, and Thomas Müller. 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
Cited alongside, same era.
Dense passage retrieval for open-domain question answering
Vladimir Karpukhin, Barlas Oguz, Sewon Min, Patrick Lewis, Ledell Wu, Sergey Edunov, Danqi Chen, and Wen-tau Yih. 2020 · 2020
Cited alongside, same era.
HybridQA: A dataset of multi-hop question answering over tabular and textual data
Wenhu Chen, Hanwen Zha, Zhiyu Chen, Wenhan Xiong, Hong Wang, and William Yang Wang. 2020a
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Table search using a deep contextualized language model
Zhiyu Chen, Mohamed Trabelsi, Jeff Heflin, Yinan Xu, and Brian D. Davison. 2020b
Cited in the paper.
Ad hoc table retrieval using intrinsic and extrinsic similarities
Roee Shraga, Haggai Roitman, Guy Feigenblat, and Mustafa Canim. 2020a
Cited in the paper.
Web table retrieval using multimodal deep learning
Roee Shraga, Haggai Roitman, Guy Feigenblat, and Mustafa Cannim. 2020b
Cited in the paper.
CLTR: An end-to-end, transformer-based system for cell-level table retrieval and table question answering
Feifei Pan, Mustafa Canim, Michael Glass, Alfio Gliozzo, and Peter Fox. 2021 · 2021
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Multimodalqa: Complex question answering over text, tables and images
Alon Talmor, Ori Yoran, Amnon Catav, Dan Lahav, Yizhong Wang, Akari Asai, Gabriel Ilharco, Hannaneh Hajishirzi, and Jonathan Berant. 2021 · 2021
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