Papers with FC-KBQA

1 papers
FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering (2023.acl-long)

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Challenge: Existing methods for question answering over knowledge bases (KBQA) suffer from generalization issues due to coarse-grained modeling of the logical expression.
Approach: They propose a fine-to- coarse-grained framework for KBQA to ensure generalization and executability of the logical expression.
Outcome: The proposed framework derives new state-of-the-art performance on GrailQA and WebQSP, and runs 4 times faster than baseline.

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