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Extended Abstract

Differentiable Tree Operations Promote Compositional Generalization

Authors
  • Paul Soulos (Johns Hopkins University)
  • Edward Hu (Mila)
  • Kate McCurdy (University of Edinburgh)
  • Yunmo Chen (Johns Hopkins University)
  • Roland Fernandez (Microsoft Research)
  • Paul Smolensky (Johns Hopkins University / Microsoft Research, Redmond)
  • Jianfeng Gao (Microsoft Research)

Keywords: Compositionality, Generalization, Neurosymbolic, Natural Language Processing, Differentiable Computing, Trees, Vector Symbolic Architecture, Hyperdimensional Computing

How to Cite:

Soulos, P., Hu, E., McCurdy, K., Chen, Y., Fernandez, R., Smolensky, P. & Gao, J., (2023) “Differentiable Tree Operations Promote Compositional Generalization”, Society for Computation in Linguistics 6(1), 364-374. doi: https://doi.org/10.7275/n99s-pp43

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Published on
2023-06-01

License

Creative Commons Attribution 4.0