Searching Unseen Sources for Historical Information: Evaluation Design for the NTCIR-18 SUSHI Pilot Task

Douglas W. Oard, Tokinori Suzuki, Emi Ishita, Noriko Kando

Research output: Contribution to journalConference articlepeer-review

Abstract

In evaluation of ranked retrieval, the usual assumption is that the documents to be searched can be indexed before the query is received and the search is performed. The NTCIR-18 SUSHI Pilot Task, by contrast, models the case in which only a small sample of the documents to be searched can be indexed before the query is received. This task model arises in the context of searching within large archives of paper documents, for example. The stark difference in what can be indexed before the query is received has consequences for both task design and evaluation design, both of which are discussed in this paper.

All Science Journal Classification (ASJC) codes

  • General Computer Science

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