A model for Ranking entities and its application to Wikipedia
|A model for Ranking entities and its application to Wikipedia|
|Author(s)||Demartini G., Firan C.S., Iofciu T., Krestel R., Nejdl W.|
|Published in||Proceedings of the Latin American Web Conference, LA-WEB 2008|
|Keyword(s)||Unknown (Extra: Computational linguistics, Information retrieval, Information services, Entity rankings, Formal models, Link analysis, Named entity recognition, Natural language processing, Query words, Retrieval effectiveness, Retrieval performance, Search tasks, Wikipedia, Natural language processing systems)|
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A model for Ranking entities and its application to Wikipedia is a 2008 conference paper written in English by Demartini G., Firan C.S., Iofciu T., Krestel R., Nejdl W. and published in Proceedings of the Latin American Web Conference, LA-WEB 2008.
Entity Ranking (ER) is a recently emerging search task in Information Retrieval, where the goal is not finding documents matching the query words, but instead finding entities which match types and attributes mentioned in the query. In this paper we propose a formal model to define entities as well as a complete ER system, providing examples of its application to enterprise, Web, and Wikipedia scenarios. Since searching for entities on Web scale repositories is an open challenge as the effectiveness of ranking is usually not satisfactory, we present a set of algorithms based on our model and evaluate their retrieval effectiveness. The results show that combining simple Link Analysis, Natural Language Processing, and Named Entity Recognition methods improves retrieval performance of entity search by over 53% for P@ 10 and 35% for MAP.
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