Corpus ID: 220935513

Mapping natural-language problems to formal-language solutions using structured neural representations

@inproceedings{Chen2020MappingNP,
  title={Mapping natural-language problems to formal-language solutions using structured neural representations},
  author={Kezhen Chen and Qiuyuan Huang and H. Palangi and P. Smolensky and Kenneth D. Forbus and Jianfeng Gao},
  booktitle={ICML},
  year={2020}
}
Generating formal-language programs represented by relational tuples, such as Lisp programs or mathematical operations, to solve problems stated in natural language is a challenging task because it requires explicitly capturing discrete symbolic structural information implicit in the input. However, most general neural sequence models do not explicitly capture such structural information, limiting their performance on these tasks. In this paper, we propose a new encoder-decoder model based on a… Expand
2 Citations

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