Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors

@article{Chen2013LearningNF,
  title={Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors},
  author={Danqi Chen and Richard Socher and Christopher D. Manning and Andrew Y. Ng},
  journal={CoRR},
  year={2013},
  volume={abs/1301.3618}
}
Knowledge bases provide applications with the benefit of eas ily ccessible, systematic relational knowledge but often suffer in practice f rom their incompleteness and lack of knowledge of new entities and relations. Much wor k has focused on building or extending them by finding patterns in large unann otated text corpora. In contrast, here we mainly aim to complete a knowledge base b y predicting additional true relationships between entities, based on gener alizations that can be discerned… CONTINUE READING
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