The Wisdom of Minority: Unsupervised Slot Filling Validation based on Multi-dimensional Truth-Finding

Information Extraction using multiple information sources and systems is beneficial due to multisource/system consolidation and challenging due to the resulting inconsistency and redundancy. We integrate IE and truth-finding research and present a novel unsupervised multi-dimensional truth finding framework which incorporates signals from multiple sources, multiple systems and multiple pieces of evidence by knowledge graph construction through multi-layer deep linguistic analysis. Experiments on the case study of Slot Filling Validation demonstrate that our approach can find truths accurately (9.4% higher F-score than supervised methods) and efficiently (finding 90% truths with only one half the cost of a baseline without credibility estimation).