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The semantic parsing-based method is an important research branch for knowledge-based question answering.
Pullnet: Open domain question answering with iterative retrieval on knowledge bases and text
Haitian Sun, Tania Bedrax-Weiss, and William W Cohen. 2019 · 1904
Earlier work this paper cites.
Eli5: Long form question answering
Angela Fan, Yacine Jernite, Ethan Perez, David Grangier, Jason Weston, and Michael Auli. 2019 · 1907
Earlier work this paper cites.
Mutual: A dataset for multi-turn dialogue reasoning
Leyang Cui, Yu Wu, Shujie Liu, Yue Zhang, and Ming Zhou. 2020 · 2004
Earlier work this paper cites.
Logiqa: A challenge dataset for machine reading comprehension with logical reasoning
Jian Liu, Leyang Cui, Hanmeng Liu, Dandan Huang, Yile Wang, and Yue Zhang. 2020 · 2007
Earlier work this paper cites.
Knowledge-based question answering as machine translation
Junwei Bao, Nan Duan, Ming Zhou, and Tiejun Zhao. 2014 · 2014
Earlier work this paper cites.
Semantic parsing for single-relation question answering
Wen-tau Yih, Xiaodong He, and Christopher Meek. 2014 · 2014
Earlier work this paper cites.
Constraint-based question answering with knowledge graph
Junwei Bao, Nan Duan, Zhao Yan, Ming Zhou, and Tiejun Zhao. 2016 · 2016
Earlier work this paper cites.
The value of semantic parse labeling for knowledge base question answering
Wen-tau Yih, Matthew Richardson, Chris Meek, Ming-Wei Chang, and Jina Suh. 2016 · 2016
Earlier work this paper cites.
Quac: Question answering in context
Eunsol Choi, He He, Mohit Iyyer, Mark Yatskar, Wen-tau Yih, Yejin Choi, Percy Liang, and Luke Zettlemoyer. 2018 · 2018
Earlier work this paper cites.
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, et al. 2019 · 2019
Earlier work this paper cites.
Open domain question answering based on text enhanced knowledge graph with hyperedge infusion
Jiale Han, Bo Cheng, and Xu 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.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, and Luke Zettlemoyer. 2020 · 2020
Cited alongside, same era.
Unsupervised multi-hop question answering by question generation
Liangming Pan, Wenhu Chen, Wenhan Xiong, Min Yen Kan, and William Yang Wang. 2020 · 2020
Cited alongside, same era.
Table fact verification with structure-aware transformer
Hongzhi Zhang, Yingyao Wang, Sirui Wang, Xuezhi Cao, Fuzheng Zhang, and Zhongyuan Wang. 2020 · 2020
Cited alongside, same era.
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
Later among the works it cites.
Open question answering over tables and text
Ming-wei Chang Wenhu Chen. 2021 · 2021
Later among the works it cites.
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
Later among the works it cites.
S 2 SQL: Injecting syntax to question-schema interaction graph encoder for text-to-SQL parsers
Binyuan Hui, Ruiying Geng, Lihan Wang, Bowen Qin, Yanyang Li, Bowen Li, Jian Sun, and Yongbin Li. 2022 · 2022
Later among the works it cites.
TAPEX: Table pre-training via learning a neural SQL executor
Qian Liu, Bei Chen, Jiaqi Guo, Morteza Ziyadi, Zeqi Lin, Weizhu Chen, and Jian-Guang Lou. 2022 · 2022
Later among the works it cites.
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A semantic parsing and reasoning-based approach to knowledge base question answering
Ibrahim Abdelaziz, Srinivas Ravishankar, Pavan Kapanipathi, Salim Roukos, and Alexander Gray. 2021 · 2021
Cited alongside, same era.
Finqa: A dataset of numerical reasoning over financial data
Zhiyu Chen, Wenhu Chen, Charese Smiley, Sameena Shah, and William Yang Wang. 2021 · 2021
Cited alongside, same era.
Mate: Multi-view attention for table transformer efficiency
Julian Martin Eisenschlos, Maharshi Gor, Thomas Müller, and William W. Cohen. 2021 · 2021
Cited alongside, same era.
Multi-instance training for question answering across table and linked text
Vishwajeet Kumar, Saneem Chemmengath, Yash Gupta, Jaydeep Sen, Samarth Bharadwaj, and Soumen Chakrabarti. 2021 · 2021
Cited alongside, same era.
Iterative hierarchical attention for answering complex questions over long documents
Haitian Sun, William W. Cohen, and Ruslan Salakhutdinov. 2021 · 2021
Cited alongside, same era.
Open question answering over tables and text
Wenhu Chen, Ming Wei Chang, Eva Schlinger, William Wang, and William W. Cohen. 2020a
Cited in the paper.
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 Wang. 2020b
Cited in the paper.
Muger 2 : Multi-granularity evidence retrieval and reasoning for hybrid question answering
Yingyao Wang, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, and Tiejun Zhao. 2022 · 2022
Later among the works it cites.
Autoqgs: Auto-prompt for low-resource knowledge-based question generation from sparql
Guanming Xiong, Junwei Bao, Wen Zhao, Youzheng Wu, and Xiaodong He. 2022 · 2022
Later among the works it cites.
Turning tables: Generating examples from semi-structured tables for endowing language models with reasoning skills
Ori Yoran, Alon Talmor, and Jonathan Berant. 2022 · 2022
Later among the works it cites.
UniRPG: Unified discrete reasoning over table and text as program generation
Yongwei Zhou, Junwei Bao, Chaoqun Duan, Youzheng Wu, Xiaodong He, and Tiejun Zhao. 2022b · 2022
Later among the works it cites.