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Recent advances in deep learning have greatly propelled the research on semantic parsing.
Learning to map sentences to logical form: structured classification with probabilistic categorial grammars
Luke S Zettlemoyer and Michael Collins · 2005
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
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Semantic parsing on freebase from question-answer pairs
Jonathan Berant, Andrew Chou, Roy Frostig, and Percy Liang · 2013
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Semantic parsing via paraphrasing
Jonathan Berant and Percy Liang · 2014
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Sequence to sequence learning with neural networks
Ilya Sutskever, Oriol Vinyals, and Quoc V Le · 2014
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyung Hyun Cho, and Yoshua Bengio · 2015
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More accurate question answering on freebase
Hannah Bast and Elmar Haussmann · 2015
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Improved semantic representations from tree-structured long short-term memory networks
Kai Sheng Tai, Richard Socher, and Christopher D Manning · 2015
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Semantic parsing via staged query graph generation: Question answering with knowledge base
Scott Wen-tau Yih, Ming-Wei Chang, Xiaodong He, and Jianfeng Gao · 2015
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Language to logical form with neural attention
Li Dong and Mirella Lapata · 2016
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Data recombination for neural semantic parsing
Robin Jia and Percy Liang · 2016
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On generating characteristic-rich question sets for qa evaluation
Yu Su, Huan Sun, Brian Sadler, Mudhakar Srivatsa, Izzeddin Gür, Zenghui Yan, and Xifeng Yan · 2016
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The value of semantic parse labeling for knowledge base question answering
Wen-tau Yih, Matthew Richardson, Christopher Meek, Ming-Wei Chang, and Jina Suh · 2016
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Automated template generation for question answering over knowledge graphs
Abdalghani Abujabal, Mohamed Yahya, Mirek Riedewald, and Gerhard Weikum · 2017
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Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner · 2017
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Neural symbolic machines: Learning semantic parsers on freebase with weak supervision
Chen Liang, Jonathan Berant, Quoc Le, Kenneth Forbus, and Ni Lao · 2017
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Building natural language interfaces to web apis
Yu Su, Ahmed Hassan Awadallah, Madian Khabsa, Patrick Pantel, Michael Gamon, and Mark Encarnacion · 2017
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Lc-quad: A corpus for complex question answering over knowledge graphs
Priyansh Trivedi, Gaurav Maheshwari, Mohnish Dubey, and Jens Lehmann · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, ℒ \mathcal{L\,} ukasz Kaiser, and Illia Polosukhin · 2017
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Core techniques of question answering systems over knowledge bases: a survey
Dennis Diefenbach, Vanessa Lopez, Kamal Singh, and Pierre Maret · 2018
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata · 2018
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Dialsql: Dialogue based structured query generation
Izzeddin Gür, Semih Yavuz, Yu Su, and Xifeng Yan · 2018
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A state-transition framework to answer complex questions over knowledge base
Sen Hu, Lei Zou, and Xinbo Zhang · 2018
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9th challenge on question answering over linked data (qald-9)
Ngonga Ngomo · 2018
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Complex sequential question answering: Towards learning to converse over linked question answer pairs with a knowledge graph
Amrita Saha, Vardaan Pahuja, Mitesh Khapra, Karthik Sankaranarayanan, and Sarath Chandar · 2018
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The web as a knowledge-base for answering complex questions
Alon Talmor and Jonathan Berant · 2018
Cited alongside, same era.
Spider: A large-scale human-labeled dataset for complex and cross-domain semantic parsing and text-to-sql task
Tao Yu, Rui Zhang, Kai Yang, Michihiro Yasunaga, Dongxu Wang, Zifan Li, James Ma, Irene Li, Qingning Yao, Shanelle Roman, et al · 2018
Cited alongside, same era.
Formal query generation for question answering over knowledge bases
Hamid Zafar, Giulio Napolitano, and Jens Lehmann · 2018
Cited alongside, same era.
Neural program induction for kbqa without gold programs or query annotations
Ghulam Ahmed Ansari, Amrita Saha, Vishwajeet Kumar, Mohan Bhambhani, Karthik Sankaranarayanan, and Soumen Chakrabarti · 2019
Cited alongside, same era.
Learning to answer complex questions over knowledge bases with query composition
Nikita Bhutani, Xinyi Zheng, and HV Jagadish · 2019
Cited alongside, same era.
Introduction to neural network-based question answering over knowledge graphs
Nilesh Chakraborty, Denis Lukovnikov, Gaurav Maheshwari, Priyansh Trivedi, Jens Lehmann, and Asja Fischer · 2021
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Retrack: a flexible and efficient framework for knowledge base question answering
Shuang Chen, Qian Liu, Zhiwei Yu, Chin-Yew Lin, Jian-Guang Lou, and Feng Jiang · 2021
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Case-based reasoning for natural language queries over knowledge bases
Rajarshi Das, Manzil Zaheer, Dung Thai, Ameya Godbole, Ethan Perez, Jay Yoon Lee, Lizhen Tan, Lazaros Polymenakos, and Andrew McCallum · 2021
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Structure-grounded pretraining for text-to-sql
Xiang Deng, Ahmed Hassan, Christopher Meek, Oleksandr Polozov, Huan Sun, and Matthew Richardson · 2021
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Beyond iid: three levels of generalization for question answering on knowledge bases
Yu Gu, Sue Kase, Michelle Vanni, Brian Sadler, Percy Liang, Xifeng Yan, and Yu Su · 2021
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Uhop: An unrestricted-hop relation extraction framework for knowledge-based question answering
Zi-Yuan Chen, Chih-Hung Chang, Yi-Pei Chen, Jijnasa Nayak, and Lun-Wei Ku · 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
Cited alongside, same era.
Leveraging frequent query substructures to generate formal queries for complex question answering
Jiwei Ding, Wei Hu, Qixin Xu, and Yuzhong Qu · 2019
Cited alongside, same era.
Lc-quad 2.0: A large dataset for complex question answering over wikidata and dbpedia
Mohnish Dubey, Debayan Banerjee, Abdelrahman Abdelkawi, and Jens Lehmann · 2019
Cited alongside, same era.
A comprehensive exploration on wikisql with table-aware word contextualization
Wonseok Hwang, Jinyeong Yim, Seunghyun Park, and Minjoon Seo · 2019
Cited alongside, same era.
Multi-hop knowledge base question answering with an iterative sequence matching model
Yunshi Lan, Shuohang Wang, and Jing Jiang · 2019
Cited alongside, same era.
Model-based interactive semantic parsing: A unified formulation and a text-to-sql case study
Ziyu Yao, Yu Su, Huan Sun, and Wen-tau Yih · 2019
Cited alongside, same era.
Edg-based question decomposition for complex question answering over knowledge bases
Xixin Hu, Yiheng Shu, Xiang Huang, and Yuzhong Qu · 2021
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Leveraging abstract meaning representation for knowledge base question answering
Pavan Kapanipathi, Ibrahim Abdelaziz, Srinivas Ravishankar, Salim Roukos, Alexander Gray, Ramón Fernandez Astudillo, Maria Chang, Cristina Cornelio, Saswati Dana, Achille Fokoue-Nkoutche, et al · 2021
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Kaggledbqa: Realistic evaluation of text-to-sql parsers
Chia-Hsuan Lee, Oleksandr Polozov, and Matthew Richardson · 2021
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The power of scale for parameter-efficient prompt tuning
Brian Lester, Rami Al-Rfou, and Noah Constant · 2021
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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 · 2021
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A two-stage approach towards generalization in knowledge base question answering
Srinivas Ravishankar, June Thai, Ibrahim Abdelaziz, Nandana Mihidukulasooriya, Tahira Naseem, Pavan Kapanipathi, Gaetano Rossilleo, and Achille Fokoue · 2021
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Lego: Latent execution-guided reasoning for multi-hop question answering on knowledge graphs
Hongyu Ren, Hanjun Dai, Bo Dai, Xinyun Chen, Michihiro Yasunaga, Haitian Sun, Dale Schuurmans, Jure Leskovec, and Denny Zhou · 2021
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Smbop: Semi-autoregressive bottom-up semantic parsing
Ohad Rubin and Jonathan Berant · 2021
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Picard: Parsing incrementally for constrained auto-regressive decoding from language models
Torsten Scholak, Nathan Schucher, and Dzmitry Bahdanau · 2021
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Neural machine translating from natural language to sparql
Xiaoyu Yin, Dagmar Gromann, and Sebastian Rudolph · 2021
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Modern baselines for sparql semantic parsing
Debayan Banerjee, Pranav Ajit Nair, Jivat Neet Kaur, Ricardo Usbeck, and Chris Biemann · 2022
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Kqa pro: A dataset with explicit compositional programs for complex question answering over knowledge base
Shulin Cao, Jiaxin Shi, Liangming Pan, Lunyiu Nie, Yutong Xiang, Lei Hou, Juanzi Li, Bin He, and Hanwang Zhang · 2022
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Yu Gu and Yu Su · 2022
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Towards transparent interactive semantic parsing via step-by-step correction
Lingbo Mo, Ashley Lewis, Huan Sun, and Michael White · 2022
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Knowledge graph question answering leaderboard: A community resource to prevent a replication crisis
Aleksandr Perevalov, Xi Yan, Liubov Kovriguina, Longquan Jiang, Andreas Both, and Ricardo Usbeck · 2022
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The power of prompt tuning for low-resource semantic parsing
Nathan Schucher, Siva Reddy, and Harm de Vries · 2022
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A new concept of knowledge based question answering (kbqa) system for multi-hop reasoning
Yu Wang, Hongxia Jin, et al · 2022
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Tianbao Xie, Chen Henry Wu, Peng Shi, Ruiqi Zhong, Torsten Scholak, Michihiro Yasunaga, Chien-Sheng Wu, Ming Zhong, Pengcheng Yin, Sida I Wang, et al · 2022
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Seqzero: Few-shot compositional semantic parsing with sequential prompts and zero-shot models
Jingfeng Yang, Haoming Jiang, Qingyu Yin, Danqing Zhang, Bing Yin, and Diyi Yang · 2022
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Rng-kbqa: Generation augmented iterative ranking for knowledge base question answering
Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, and Caiming Xiong · 2022
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