An Approach of Filtering Wrong-Type Entities for Entity Ranking

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概要

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• Entity is an important information carrier in Web pages. Users would like to directly get a list of relevant entities instead of a list of documents when they submit a query to the search engine. So the research of related entity finding (REF) is a meaningful work. In this paper we investigate the most important task of REF: Entity Ranking. The wrong-type entities which don't belong to the target-entity type will pollute the ranking result. We propose a novel method to filter wrong-type entities. We focus on the acquisition of seed entities and automatically extracting the common Wikipedia categories of target-entity type. Also we demonstrate how to filter wrong-type entities using the proposed model. The experimental results show our method can filter wrong-type entities effectively and improve the results of entity ranking.

著者

• SUN Haoliang

  National Key Laboratory of Integrated Information System Technology, Institute of Software, Chinese Academy of Sciences

• TIAN Shengfeng

  School of Computer and Information Technology, Beijing Jiaotong University

• ZHANG Junsan

  School of Computer and Information Technology, Beijing Jiaotong University

• QU Youli

  School of Computer and Information Technology, Beijing Jiaotong University

• GONG Shu

  School of Computer and Information Technology, Beijing Jiaotong University

関連論文

• An Approach of Filtering Wrong-Type Entities for Entity Ranking
• An Approach of Filtering Wrong-Type Entities for Entity Ranking

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