SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble

Jiaming Shen, Zeqiu Wu, Dongming Lei, Jingbo Shang, Xiang Ren, Jiawei Han

ECML-PKDD 2017 pp. 288-304

doi:10.1007/978-3-319-71249-9_18 /ecmlpkdd/2017/shen2017ecmlpkdd-setexpan/

Abstract

Corpus-based set expansion (i.e., finding the “complete” set of entities belonging to the same semantic class, based on a given corpus and a tiny set of seeds) is a critical task in knowledge discovery. It may facilitate numerous downstream applications, such as information extraction, taxonomy induction, question answering, and web search.

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Cite

Text

Shen et al. "SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017. doi:10.1007/978-3-319-71249-9_18

Markdown

[Shen et al. "SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017.](https://mlanthology.org/ecmlpkdd/2017/shen2017ecmlpkdd-setexpan/) doi:10.1007/978-3-319-71249-9_18

BibTeX

@inproceedings{shen2017ecmlpkdd-setexpan,
  title     = {{SetExpan: Corpus-Based Set Expansion via Context Feature Selection and Rank Ensemble}},
  author    = {Shen, Jiaming and Wu, Zeqiu and Lei, Dongming and Shang, Jingbo and Ren, Xiang and Han, Jiawei},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2017},
  pages     = {288-304},
  doi       = {10.1007/978-3-319-71249-9_18},
  url       = {https://mlanthology.org/ecmlpkdd/2017/shen2017ecmlpkdd-setexpan/}
}