Classifying Relations by Ranking with Convolutional Neural Networks

@inproceedings{Santos2015ClassifyingRB,
  title={Classifying Relations by Ranking with Convolutional Neural Networks},
  author={C{\'i}cero Nogueira dos Santos and Bing Xiang and Bowen Zhou},
  booktitle={ACL},
  year={2015}
}
Relation classification is an important semantic processing task for which state-ofthe-art systems still rely on costly handcrafted features. In this work we tackle the relation classification task using a convolutional neural network that performs classification by ranking (CR-CNN). We propose a new pairwise ranking loss function that makes it easy to reduce the impact of artificial classes. We perform experiments using the the SemEval-2010 Task 8 dataset, which is designed for the task of… Expand
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