Commonsense Properties from Query Logs and Question Answering Forums

@article{Romero2019CommonsensePF,
  title={Commonsense Properties from Query Logs and Question Answering Forums},
  author={Julien Romero and Simon Razniewski and Koninika Pal and J. Pan and Archit Sakhadeo and G. Weikum},
  journal={Proceedings of the 28th ACM International Conference on Information and Knowledge Management},
  year={2019}
}
  • Julien Romero, Simon Razniewski, +3 authors G. Weikum
  • Published 2019
  • Computer Science
  • Proceedings of the 28th ACM International Conference on Information and Knowledge Management
  • Commonsense knowledge about object properties, human behavior and general concepts is crucial for robust AI applications. However, automatic acquisition of this knowledge is challenging because of sparseness and bias in online sources. This paper presents Quasimodo, a methodology and tool suite for distilling commonsense properties from non-standard web sources. We devise novel ways of tapping into search-engine query logs and QA forums, and combining the resulting candidate assertions with… CONTINUE READING
    Enriching Knowledge Bases with Interesting Negative Statements
    • 2
    • Open Access
    Joint Reasoning for Multi-Faceted Commonsense Knowledge
    • 1
    • Open Access
    Negative Statements Considered Useful
    Co-Clustering Triples from Open Information Extraction
    • 1
    • Open Access
    Do Dogs have Whiskers? A New Knowledge Base of hasPart Relations

    References

    Publications referenced by this paper.
    SHOWING 1-4 OF 4 REFERENCES
    CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge
    • 108
    • Highly Influential
    • Open Access
    CYC: a large-scale investment in knowledge infrastructure
    • 2,097
    • Highly Influential
    • Open Access
    WordNet: a lexical database for English
    • 11,713
    • Highly Influential
    • Open Access
    ConceptNet 5: A Large Semantic Network for Relational Knowledge
    • 175
    • Highly Influential
    • Open Access