ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales

4Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.
Get full text

Abstract

The scarcity of Arabic test collections has long hindered information retrieval (IR) research over the Arabic Web. In this work, we present ArTest, the first large-scale test collection designed for the evaluation of ad-hoc search over the Arabic Web. ArTest uses ArabicWeb16, a collection of around 150M Arabic Web pages as the document collection, and includes 50 topics, 10,529 relevance judgments, and (more importantly) a rationale behind each judgment. To our knowledge, this is also the first IR test collection that includes rationales of primary assessors (i.e., topic developers) for their relevance judgments, exhibiting a useful resource for understanding the relevance phenomena. Finally, ArTest is made publicly-available for the research community.

Cite

CITATION STYLE

APA

Hasanain, M., Barkallah, Y., Suwaileh, R., Kutlu, M., & Elsayed, T. (2020). ArTest: The First Test Collection for Arabic Web Search with Relevance Rationales. In SIGIR 2020 - Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2017–2020). Association for Computing Machinery, Inc. https://doi.org/10.1145/3397271.3401223

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free