An approach of filtering wrong-type entities for entity ranking
|An approach of filtering wrong-type entities for entity ranking|
|Author(s)||Zhang J., Qu Y., Gong S., Tian S., Sun H.|
|Published in||IEICE Transactions on Information and Systems|
|Keyword(s)||Entity ranking, Related entity finding, Type filtering, Wikipedia (Extra: Entity ranking, Information carriers, Related entity finding, Wikipedia, Search engines, Websites)|
|Article||BASE, CiteSeerX, Google Scholar|
|Web||Ask, Bing, Google (PDF), Yahoo!|
|Download and mirrors|
|Local copy||Not available|
|Remote mirror(s)||Not available|
|Export and share|
|BibTeX, CSV, RDF, JSON|
|Browse properties · List of journal articles|
An approach of filtering wrong-type entities for entity ranking is a 2013 journal article written in English by Zhang J., Qu Y., Gong S., Tian S., Sun H. and published in IEICE Transactions on Information and Systems.
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.
- This section requires expansion. Please, help!
Probably, this publication is cited by others, but there are no articles available for them in WikiPapers.