Neural Relation Extraction with Selective Attention over Instances

  title={Neural Relation Extraction with Selective Attention over Instances},
  author={Yankai Lin and Shiqi Shen and Zhiyuan Liu and Huanbo Luan and Maosong Sun},
Distant supervised relation extraction has been widely used to find novel relational facts from text. However, distant supervision inevitably accompanies with the wrong labelling problem, and these noisy data will substantially hurt the performance of relation extraction. To alleviate this issue, we propose a sentence-level attention-based model for relation extraction. In this model, we employ convolutional neural networks to embed the semantics of sentences. Afterwards, we build sentence… CONTINUE READING
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