NDLI: Bag-of-Entities Representation for Ranking

Content Provider	ACM Digital Library
Author	Xiong, Chenyan Liu, Tie-Yan Callan, Jamie
Abstract	This paper presents a new bag-of-entities representation for document ranking, with the help of modern knowledge bases and automatic entity linking. Our system represents query and documents by bag-of-entities vectors constructed from their entity annotations, and ranks documents by their matches with the query in the entity space. Our experiments with Freebase on TREC Web Track datasets demonstrate that current entity linking systems can provide sufficient coverage of the general domain search task, and that bag-of-entities representations outperform bag-of-words by as much as 18% in standard document ranking tasks.
Starting Page	181
Ending Page	184
Page Count	4
File Format	PDF
ISBN	9781450344975
DOI	10.1145/2970398.2970423
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2016-09-12
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Document representation Knowledge base Text representation Base-of-entities
Content Type	Text
Resource Type	Article

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Bag-of-Entities Representation for Ranking