Ranking very many typed entities on wikipedia

Ranking very many typed entities on wikipedia. Zaragoza, H., Rode, H., Mika, P., Atserias, J., Ciaramita, M., & Attardi, G. Proceedings of the sixteenth ACM conference on Conference on information and knowledge management CIKM 07, ACM Press, 2007.

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We discuss the problem of ranking very many entities of different types. In particular we deal with a heterogeneous set of types, some being very generic and some very specific. We discuss two approaches for this problem: i) exploiting the entity containment graph and ii) using a Web search engine to compute entity relevance. We evaluate these approaches on the real task of ranking Wikipedia entities typed with a state-of-the-art named-entity tagger. Results show that both approaches can greatly increase the performance of methods based only on passage retrieval.

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 abstract = {We discuss the problem of ranking very many entities of different types. In particular we deal with a heterogeneous set of types, some being very generic and some very specific. We discuss two approaches for this problem: i) exploiting the entity containment graph and ii) using a Web search engine to compute entity relevance. We evaluate these approaches on the real task of ranking Wikipedia entities typed with a state-of-the-art named-entity tagger. Results show that both approaches can greatly increase the performance of methods based only on passage retrieval.},
 bibtype = {article},
 author = {Zaragoza, Hugo and Rode, Henning and Mika, Peter and Atserias, Jordi and Ciaramita, Massimiliano and Attardi, Giuseppe},
 journal = {Proceedings of the sixteenth ACM conference on Conference on information and knowledge management CIKM 07}
}

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