Ontology Enhanced Claim Detection

arXiv:2402.12282v1 Announce Type: new
Abstract: We propose an ontology enhanced model for sentence based claim detection. We fused ontology embeddings from a knowledge base with BERT sentence embeddings to perform claim detection for the ClaimBuster and the NewsClaims datasets. Our ontology enhanced approach showed the best results with these small-sized unbalanced datasets, compared to other statistical and neural machine learning models. The experiments demonstrate that adding domain specific features (either trained word embeddings or knowledge graph metadata) can improve traditional …

abstract arxiv bert claim cs.cl datasets detection embeddings knowledge knowledge base ontology small statistical type