Cited by 31Information Retrieval and Search BehaviorNatural Language Processing TechniquesTopic Modeling

The DOI matches its Crossref record, with a small difference in title or year; 1 of the 1 references it cites were found in a registry or an index.

AyaTEC: Building a Reusable Verse-Based Test Collection for Arabic Question Answering on the Holy Qur’an

Malhas, Rana, Elsayed, Tamer·2020·ACM Transactions on Asian and Low-Resource Language Information Processing

Abstract

The absence of publicly available reusable test collections for Arabic question answering on the Holy Qur’an has impeded the possibility of fairly comparing the performance of systems in that domain. In this article, we introduce AyaTEC , a reusable test collection for verse-based question answering on the Holy Qur’an, which serves as a common experimental testbed for this task. AyaTEC includes 207 questions (with their corresponding 1,762 answers) covering 11 topic categories of the Holy Qur’an that target the information needs of both curious and skeptical users. To the best of our effort, the answers to the questions (each represented as a sequence of verses) in AyaTEC were exhaustive—that is, all qur’anic verses that directly answered the questions were exhaustively extracted and annotated. To facilitate the use of AyaTEC in evaluating the systems designed for that task, we propose several evaluation measures to support the different types of questions and the nature of verse-based answers while integrating the concept of partial matching of answers in the evaluation.

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Crossref · 10.1145/3400396

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Research works printed but not linked: 26

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Metadata

Authors
Malhas, R., & Elsayed, T.
Affiliations
Qatar University (QA)
Venue
ACM Transactions on Asian and Low-Resource Language Information Processing
Published
2020-10-02
Volume
19
Issue
6
Pages
1-21
ISSN
  • 2375-4699 (ISSN-L)
  • 2375-4702
OpenAlex
W3090081112
Cited by
31
References
1
Citations by year
2026: 3 · 2025: 8 · 2024: 5 · 2023: 9 · 2022: 3 · 2021: 3
FWCI
3.34
Type
journal article
Language
en
Open access
closed
Locations
  • ACM Transactions on Asian and Low-Resource Language Information Processing (publishedVersion)
  • Qatar University QSpace (Qatar University) (submittedVersion)
Funders
Qatar University through (QUST-1-CENG-2018-24)
Topics
  • Physical Sciences › Computer Science › Information Systems › Information Retrieval and Search Behavior
  • Physical Sciences › Computer Science › Artificial Intelligence › Natural Language Processing Techniques
  • Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
Keywords
Arabic question answering, test collections, evaluation metrics, partial matching, Arabic information retrieval

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