Improving Context and Category Matching for Entity Search

Entity search is to retrieve a ranked list of named entities of target types to a given query. In this paper, we propose an approach of entity search by formalizing both context matching and category matching. In addition, we propose a result re-ranking strategy that can be easily adapted to achieve a hybrid of two context matching strategies. Experiments on the INEX 2009 entity ranking task show that the proposed approach achieves a significant improvement of the entity search performance (xinfAP from 0. 27 to 0. 39) over the existing solutions.

Authors

• Yueguo Chen Renmin University of China
• Lexi Gao Renmin University of China
• Shuming Shi Tsinghua University
• Xiaoyong Du Renmin University of China
• Ji-Rong Wen Gaoling School of Artificial Intelligence, Renmin University of China

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