Extracting Commonsense Properties from Embeddings with Limited Human Guidance
Yiben Yang, Larry J. Birnbaum, Jiping Wang, Doug Downey · 2018
Intelligent systems require common sense, but automatically extracting this knowledge from text can be difficult.We propose and assess methods for extracting one type of commonsense knowledge, object-property comparisons, from pretrained embeddings.In experiments, we show that our approach exceeds the accuracy of previous work but requires substantially less hand-annotated knowledge.Further, we show that an active learning approach that synthesizes common-sense queries can boost accuracy.