Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction

@inproceedings{Weston2013ConnectingLA,
  title={Connecting Language and Knowledge Bases with Embedding Models for Relation Extraction},
  author={Jason Weston and Antoine Bordes and Oksana Yakhnenko and Nicolas Usunier},
  booktitle={EMNLP},
  year={2013}
}
This paper proposes a novel approach for relation extraction from free text which is trained to jointly use information from the text and from existing knowledge. Our model is based on two scoring functions that operate by learning low-dimensional embeddings of words and of entities and relationships from a knowledge base. We empirically show on New York Times articles aligned with Freebase relations that our approach is able to efficiently use the extra information provided by a large subset… CONTINUE READING

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