Fetching the paper…
Reading the bibliography…
Recent advances in transformers have enabled Table Question Answering (Table QA) systems to achieve high accuracy and SOTA results on open domain datasets like WikiTableQuestions and WikiSQL.
Webtables: Exploring the power of tables on the web
Michael J. Cafarella, Alon Halevy, Daisy Zhe Wang, Eugene Wu, and Yang Zhang. 2008 · 2008
Earlier work this paper cites.
Data integration for the relational web
Michael J Cafarella, Alon Halevy, and Nodira Khoussainova. 2009 · 2009
Earlier work this paper cites.
Table header detection and classification
Jing Fang, Prasenjit Mitra, Zhi Tang, and C. Lee Giles. 2012 · 2012
Earlier work this paper cites.
Answering table queries on the web using column keywords
Rakesh Pimplikar and Sunita Sarawagi. 2012 · 2012
Earlier work this paper cites.
TabEL: Entity linking in web tables
Chandra Sekhar Bhagavatula, Thanapon Noraset, and Douglas C Downey. 2015 · 2015
Earlier work this paper cites.
Tabmcq: A dataset of general knowledge tables and multiple-choice questions
Sujay Kumar Jauhar, Peter Turney, and Eduard Hovy. 2016 · 2016
Earlier work this paper cites.
Cell classification for layout recognition in spreadsheets
Elvis Koci, Maik Thiele, Oscar Romero, and Wolfgang Lehner. 2016 · 2016
Earlier work this paper cites.
A large public corpus of web tables containing time and context metadata
Oliver Lehmberg, Dominique Ritze, Robert Meusel, and Christian Bizer. 2016 · 2016
Earlier work this paper cites.
A rectangle mining method for understanding the semantics of financial tables
Xilun Chen, Laura Chiticariu, Marina Danilevsky, Alexandre Evfimievski, and Prithviraj Sen. 2017 · 2017
Earlier work this paper cites.
Scientific table search using keyword queries
Kyle Yingkai Gao and Jamie Callan. 2017 · 2017
Earlier work this paper cites.
Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017
Earlier work this paper cites.
Neural symbolic machines: Learning semantic parsers on freebase with weak supervision
Chen Liang, Jonathan Berant, Quoc Le, Kenneth D Forbus, and Ni Lao. 2017 · 2017
Earlier work this paper cites.
Understanding the semantic structures of tables with a hybrid deep neural network architecture
Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, and Yoshihiro Matsuo. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Content-based table retrieval for web queries
Zhao Yan, Duyu Tang, Nan Duan, Junwei Bao, Yuanhua Lv, Ming Zhou, and Zhoujun Li. 2017 · 2017
Cited alongside, same era.
Memory augmented policy optimization for program synthesis and semantic parsing
Chen Liang, Mohammad Norouzi, Jonathan Berant, Quoc V Le, and Ni Lao. 2018 · 2018
Cited alongside, same era.
Ad hoc table retrieval using semantic similarity
Shuo Zhang and Krisztian Balog. 2018a · 2018
Cited alongside, same era.
Ad hoc table retrieval using intrinsic and extrinsic similarities
Roee Shraga, Haggai Roitman, Guy Feigenblat, and Mustafa Canim. 2020a · 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.
Open question answering over tables and text
Wenhu Chen, Ming wei Chang, Eva Schlinger, William Wang, and William Cohen. 2021 · 2021
Closest in time.
Capturing row and column semantics in transformer based question answering over tables
Michael Glass, Mustafa Canim, Alfio Gliozzo, Saneem Chemmengath, Vishwajeet Kumar, Rishav Chakravarti, Avirup Sil, Feifei Pan, Samarth Bharadwaj, and Nicolas Rodolfo Fauceglia. 2021 · 2021
Closest in time.
Open domain question answering over tables via dense retrieval
Jonathan Herzig, Thomas Müller, Syrine Krichene, and Julian Martin Eisenschlos. 2021 · 2021
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Ad hoc table retrieval using semantic similarity
Shuo Zhang and Krisztian Balog. 2018b · 2018
Cited alongside, same era.
Schemaless queries over document tables with dependencies
Mustafa Canim, Cristina Cornelio, Arun Iyengar, Ryan Musa, and Mariano Rodriguez-Muro. 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.
Table extraction and understanding for scientific and enterprise applications
Doug Burdick, Marina Danilevsky, Alexandre V. Evfimievski, Yannis Katsis, and Nancy Xin Ru Wang. 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. 2020 · 2020
Cited alongside, same era.
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.
IBM Watson Discovery (Accessed: 2021-05-18)
IBM. 2018a · 2021
Closest in time.
IBM Watson Discovery: Understanding tables (Accessed: 2021-05-18)
IBM. 2018b · 2021
Closest in time.
Fetaqa: Free-form table question answering
Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryscinski, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, and Dragomir R. Radev. 2021 · 2021
Closest in time.
EDGAR (Accessed: 2021-05-18)
U.S. Securities and Exchange Commission. 2018 · 2021
Closest in time.
List of S&P 500 companies (Accessed: 2021-05-18)
Wikipedia. 2018 · 2021
Closest in time.
TAT-QA: A question answering benchmark on a hybrid of tabular and textual content in finance
Fengbin Zhu, Wenqiang Lei, Youcheng Huang, Chao Wang, Shuo Zhang, Jiancheng Lv, Fuli Feng, and Tat-Seng Chua. 2021 · 2021
Closest in time.