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Generic unstructured neural networks have been shown to struggle on out-of-distribution compositional generalization.
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Compositional generalization via semantic tagging
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Unsupervised transduction grammar induction via minimum description length
Markus Saers, Karteek Addanki, and Dekai Wu. 2013 · 2013
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Coarse-to-fine decoding for neural semantic parsing
Li Dong and Mirella Lapata. 2018 · 2018
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Generating synthetic data for task-oriented semantic parsing with hierarchical representations
Ke Tran and Ming Tan. 2020 · 2020
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Grounded adaptation for zero-shot executable semantic parsing
Victor Zhong, Mike Lewis, Sida I. Wang, and Luke Zettlemoyer. 2020 · 2020
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Learning to recombine and resample data for compositional generalization
Ekin Akyürek, Afra Feyza Akyürek, and Jacob Andreas. 2021 · 2021
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Meta-learning to compositionally generalize
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The devil is in the detail: Simple tricks improve systematic generalization of transformers
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Revisiting iterative back-translation from the perspective of compositional generalization
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Span-based semantic parsing for compositional generalization
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Unlocking compositional generalization in pre-trained models using intermediate representations
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Learning algebraic recombination for compositional generalization
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Finding needles in a haystack: Sampling structurally-diverse training sets from synthetic data for compositional generalization
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Iterative decoding for compositional generalization in transformers
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Learning to synthesize data for semantic parsing
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