Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

17 Feb 2016Xiang RenWenqi HeMeng QuClare R. VossHeng JiJiawei Han

Current systems of fine-grained entity typing use distant supervision in conjunction with existing knowledge bases to assign categories (type labels) to entity mentions. However, the type labels so obtained from knowledge bases are often noisy (i.e., incorrect for the entity mention's local context)... (read more)

PDF Abstract

Evaluation Results from the Paper


  Submit results from this paper to get state-of-the-art GitHub badges and help the community compare results to other papers.