Abstract Meaning Representation-Based Logic-Driven Data Augmentation for Logical Reasoning

arXiv:2305.12599v3 Announce Type: replace
Abstract: Combining large language models with logical reasoning enhances their capacity to address problems in a robust and reliable manner. Nevertheless, the intricate nature of logical reasoning poses challenges to gathering reliable data from the web for building comprehensive training datasets, subsequently affecting the performance on downstream tasks. To address this, we introduce a novel logic-driven data augmentation approach, AMR-LDA. AMR-LDA converts the original text into an Abstract Meaning Representation (AMR) graph, a structured semantic representation …

abstract arxiv augmentation cs.ai cs.cl data driven data logic meaning reasoning representation type