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05/26/2023
Compositional Generalization without Trees using Multiset Tagging and Latent Permutations
Seq2seq models have been shown to struggle with compositional generaliza...
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05/15/2023
What's the Meaning of Superhuman Performance in Today's NLU?
In the last five years, there has been a significant focus in Natural La...
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10/24/2022
Structural generalization is hard for sequence-to-sequence models
Sequence-to-sequence (seq2seq) models have been successful across many N...
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10/06/2022
Compositional Generalisation with Structured Reordering and Fertility Layers
Seq2seq models have been shown to struggle with compositional generalisa...
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02/24/2022
Compositional Generalization Requires Compositional Parsers
A rapidly growing body of research on compositional generalization inves...
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06/08/2021
Learning compositional structures for semantic graph parsing
AM dependency parsing is a method for neural semantic graph parsing that...
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10/08/2020
Generating Instructions at Different Levels of Abstraction
When generating technical instructions, it is often convenient to descri...
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09/15/2020
Fast semantic parsing with well-typedness guarantees
AM dependency parsing is a linguistically principled method for neural s...
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04/29/2020
Normalizing Compositional Structures Across Graphbanks
The emergence of a variety of graph-based meaning representations (MRs) ...
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06/27/2019
Semantic expressive capacity with bounded memory
We investigate the capacity of mechanisms for compositional semantic par...
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06/27/2019
Compositional Semantic Parsing Across Graphbanks
Most semantic parsers that map sentences to graph-based meaning represen...
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06/27/2018
Generalized chart constraints for efficient PCFG and TAG parsing
Chart constraints, which specify at which string positions a constituent...
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06/15/2018
Discovering User Groups for Natural Language Generation
We present a model which predicts how individual users of a dialog syste...
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05/29/2018
