Zhaoheng Shi

An Asymmetric Latent Factorization-of-Tensors Model for Relation Extraction

Latent Factorization-of-Tensors (LFT) models are an effective approach for relation extraction. Existing LFT models assume each mode of the target tensor corresponds to a entity set and the relationships between entity sets are bipartite graphs to explore the relationships among entities within a mo…