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Nearly all general-purpose neural semantic parsers generate logical forms in a strictly top-down autoregressive fashion.
Exploring the limits of transfer learning with a unified text-to-text transformer
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Compositional generalization in semantic parsing: Pre-training vs. specialized architectures
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Learning synchronous grammars for semantic parsing with lambda calculus
Yuk Wah Wong and Raymond Mooney. 2007 · 2007
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Online learning of relaxed ccg grammars for parsing to logical form
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Cogs: A compositional generalization challenge based on semantic interpretation
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Compositional generalization via semantic tagging
Hao Zheng and Mirella Lapata. 2020 · 2010
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Lexical generalization in ccg grammar induction for semantic parsing
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Learning dependency-based compositional semantics
Percy Liang, Michael I Jordan, and Dan Klein. 2013 · 2013
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Type-driven incremental semantic parsing with polymorphism
Kai Zhao and Liang Huang. 2015 · 2015
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Language to logical form with neural attention
Li Dong and Mirella Lapata. 2016 · 2016
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Data recombination for neural semantic parsing
Robin Jia and Percy Liang. 2016 · 2016
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Sequence-based structured prediction for semantic parsing
Chunyang Xiao, Marc Dymetman, and Claire Gardent. 2016 · 2016
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Tree-structured decoding with doubly-recurrent neural networks
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Learning a neural semantic parser from user feedback
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Neural semantic parsing with type constraints for semi-structured tables
Jayant Krishnamurthy, Pradeep Dasigi, and Matt Gardner. 2017 · 2017
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Building machines that learn and think like people
Brenden M Lake, Tomer D Ullman, Joshua B Tenenbaum, and Samuel J Gershman. 2017 · 2017
Graph-to-tree neural networks for learning structured input-output translation with applications to semantic parsing and math word problem
Shucheng Li, Lingfei Wu, Shiwei Feng, Fangli Xu, Fengyuan Xu, and Sheng Zhong. 2020 · 2020
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Improving compositional generalization in semantic parsing
Inbar Oren, Jonathan Herzig, Nitish Gupta, Matt Gardner, and Jonathan Berant. 2020 · 2020
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Systematic generalization with edge transformers
Leon Bergen, Timothy O’Donnell, and Dzmitry Bahdanau. 2021 · 2021
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Question-Answering with Structural Analogy
Maxwell Crouse. 2021 · 2021
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Grounded graph decoding improves compositional generalization in question answering
Yu Gai, Paras Jain, Wendi Zhang, Joseph Gonzalez, Dawn Song, and Ion Stoica. 2021 · 2021
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Span-based semantic parsing for compositional generalization
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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
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
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Improving text-to-sql evaluation methodology
Catherine Finegan-Dollak, Jonathan K Kummerfeld, Li Zhang, Karthik Ramanathan, Sesh Sadasivam, Rui Zhang, and Dragomir Radev. 2018 · 2018
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Scan: Learning hierarchical compositional visual concepts
Irina Higgins, Nicolas Sonnerat, Loic Matthey, Arka Pal, Christopher P Burgess, Matko Bošnjak, Murray Shanahan, Matthew Botvinick, Demis Hassabis, and Alexander Lerchner. 2018 · 2018
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Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks
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Self-attention with relative position representations
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Unlocking compositional generalization in pre-trained models using intermediate representations
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Lagr: Labeling aligned graphs for improving systematic generalization in semantic parsing
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Learning algebraic recombination for compositional generalization
Chenyao Liu, Shengnan An, Zeqi Lin, Qian Liu, Bei Chen, Jian-Guang Lou, Lijie Wen, Nanning Zheng, and Dongmei Zhang. 2021 · 2021
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Smbop: Semi-autoregressive bottom-up semantic parsing
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Compositional generalization and natural language variation: Can a semantic parsing approach handle both?
Peter Shaw, Ming-Wei Chang, Panupong Pasupat, and Kristina Toutanova. 2021 · 2021
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Amr parsing with action-pointer transformer
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Structure-aware fine-tuning of sequence-to-sequence transformers for transition-based amr parsing
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Unobserved local structures make compositional generalization hard
Ben Bogin, Shivanshu Gupta, and Jonathan Berant. 2022 · 2022
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Compositional semantic parsing with large language models
Andrew Drozdov, Nathanael Schärli, Ekin Akyürek, Nathan Scales, Xinying Song, Xinyun Chen, Olivier Bousquet, and Denny Zhou. 2022 · 2022
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Evaluating the impact of model scale for compositional generalization in semantic parsing
Linlu Qiu, Peter Shaw, Panupong Pasupat, Tianze Shi, Jonathan Herzig, Emily Pitler, Fei Sha, and Kristina Toutanova. 2022 · 2022
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