Commonsense Properties fromQuery Logs andQuestion

@inproceedings{Romero2019CommonsensePF,
  title={Commonsense Properties fromQuery Logs andQuestion},
  author={Julien Romero and Simon Razniewski and Jeff Z. Pan and Archit Sakhadeo and Gerhard Weikum},
  year={2019}
}
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

Similar Papers

Figures and Tables from this paper.

References

Publications referenced by this paper.