Universal schema for entity type prediction

@inproceedings{Yao2013UniversalSF,
  title={Universal schema for entity type prediction},
  author={Limin Yao and S. Riedel and A. McCallum},
  booktitle={AKBC '13},
  year={2013}
}
  • Limin Yao, S. Riedel, A. McCallum
  • Published in AKBC '13 2013
  • Computer Science
  • Categorizing entities by their types is useful in many applications, including knowledge base construction, relation extraction and query intent prediction. Fine-grained entity type ontologies are especially valuable, but typically difficult to design because of unavoidable quandaries about level of detail and boundary cases. Automatically classifying entities by type is challenging as well, usually involving hand-labeling data and training a supervised predictor. This paper presents a… CONTINUE READING
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    References

    SHOWING 1-2 OF 2 REFERENCES
    Fine-Grained Entity Recognition
    • 337
    • Highly Influential
    • PDF
    Learning Entailment Rules for Unary Templates
    • 114
    • Highly Influential
    • PDF