A Supervised Learning Approach to Entity Search

@inproceedings{Hu2006ASL,
  title={A Supervised Learning Approach to Entity Search},
  author={Guoping Hu and Jingjing Liu and Hang Li and Yunbo Cao and Jian-Yun Nie and Jianfeng Gao},
  booktitle={AIRS},
  year={2006}
}
In this paper we address the problem of entity search. Expert search and time search are used as examples. In entity search, given a query and an entity type, a search system returns a ranked list of entities in the type (e.g., person name, time expression) relevant to the query. Ranking is a key issue in entity search. In the literature, only expert search was studied and the use of cooccurrence was proposed. In general, many features may be useful for ranking in entity search. We propose… CONTINUE READING
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