Papers with CNR-NST framework

1 papers
Complex Numerical Reasoning with Numerical Semantic Pre-training Framework (2025.emnlp-main)

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Challenge: Numerical knowledge graphs (NKGs) are not limited to discrete entity-relation knowledge.
Approach: They propose to combine numerical values and entities to solve multi-hop complex reasoning over incomplete knowledge graphs.
Outcome: The proposed approach handles up to 102 types of complex numerical reasoning queries on three public datasets.

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