Case-based Reasoning for Natural Language Queries over Knowledge Bases

@inproceedings{Das2021CasebasedRF,
  title={Case-based Reasoning for Natural Language Queries over Knowledge Bases},
  author={Rajarshi Das and Manzil Zaheer and Dung Ngoc Thai and Ameya Godbole and Ethan Perez and Jay Yoon Lee and Lizhen Tan and Lazaros Polymenakos and Andrew McCallum},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2021}
}
It is often challenging to solve a complex problem from scratch, but much easier if we can access other similar problems with their solutions — a paradigm known as case-based reasoning (CBR). We propose a neuro-symbolic CBR approach (CBR-KBQA) for question answering over large knowledge bases. CBR-KBQA consists of a nonparametric memory that stores cases (question and logical forms) and a parametric model that can generate a logical form for a new question by retrieving cases that are relevant… 
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64 Citations

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94 References

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