StatSnowball: a statistical approach to extracting entity relationships

@inproceedings{Zhu2009StatSnowballAS,
  title={StatSnowball: a statistical approach to extracting entity relationships},
  author={Jun Zhu and Zaiqing Nie and Xiaojiang Liu and Bo Zhang and Ji-Rong Wen},
  booktitle={WWW},
  year={2009}
}
Traditional relation extraction methods require pre-specified relations and relation-specific human-tagged examples. Bootstrapping systems significantly reduce the number of training examples, but they usually apply heuristic-based methods to combine a set of strict hard rules, which limit the ability to generalize and thus generate a low recall. Furthermore, existing bootstrapping methods do not perform open information extraction (Open IE), which can identify various types of relations… CONTINUE READING
Highly Influential
This paper has highly influenced a number of papers. REVIEW HIGHLY INFLUENTIAL CITATIONS
Highly Cited
This paper has 273 citations. REVIEW CITATIONS

7 Figures & Tables

Topics

Statistics

020402009201020112012201320142015201620172018
Citations per Year

274 Citations

Semantic Scholar estimates that this publication has 274 citations based on the available data.

See our FAQ for additional information.