Knowledge Graph and Text Jointly Embedding

@inproceedings{Wang2014KnowledgeGA,
  title={Knowledge Graph and Text Jointly Embedding},
  author={Zhen Wang and Jianwen Zhang and Jianlin Feng and Zheng Chen},
  booktitle={EMNLP},
  year={2014}
}
We examine the embedding approach to reason new relational facts from a largescale knowledge graph and a text corpus. We propose a novel method of jointly embedding entities and words into the same continuous vector space. The embedding process attempts to preserve the relations between entities in the knowledge graph and the concurrences of words in the text corpus. Entity names and Wikipedia anchors are utilized to align the embeddings of entities and words in the same space. Large scale… CONTINUE READING
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