Corpus ID: 218487161

GenericsKB: A Knowledge Base of Generic Statements

@article{Bhakthavatsalam2020GenericsKBAK,
  title={GenericsKB: A Knowledge Base of Generic Statements},
  author={Sumithra Bhakthavatsalam and Chloe Anastasiades and Peter Clark},
  journal={ArXiv},
  year={2020},
  volume={abs/2005.00660}
}
  • Sumithra Bhakthavatsalam, Chloe Anastasiades, Peter Clark
  • Published 2020
  • Computer Science
  • ArXiv
  • We present a new resource for the NLP community, namely a large (3.5M+ sentence) knowledge base of *generic statements*, e.g., "Trees remove carbon dioxide from the atmosphere", collected from multiple corpora. This is the first large resource to contain *naturally occurring* generic sentences, as opposed to extracted or crowdsourced triples, and thus is rich in high-quality, general, semantically complete statements. All GenericsKB sentences are annotated with their topical term, surrounding… CONTINUE READING

    Figures, Tables, and Topics from this paper.

    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 24 REFERENCES

    Domain-Targeted, High Precision Knowledge Extraction

    VIEW 2 EXCERPTS