AC-IQuAD: Automatically Constructed Indonesian Question Answering Dataset by Leveraging Wikidata: AC-IQuAD: automatically constucted Indonesian QA dataset: K. Doxolodeo, A. A. Krisnadhi.
Constructing a question-answering dataset can be prohibitively expensive, making it difficult for researchers to make one for an under-resourced language, such as Indonesian. We create a novel Indonesian Question Answering dataset that is produced automatically end-to-end. The process uses Context F...
| Publicado en: | Language Resources & Evaluation Vol. 59; no. 1; pp. 135 - 161 |
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| Autores principales: | , |
| Formato: | Artículo |
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Springer Nature
Mar2025
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=183750659&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 183750659 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 1574020X 179V jtl: Language Resources & Evaluation issn: 1574020X maglogo: N pubinfo: dt: Mar2025 vid: 59 iid: 1 pid: 237 pub: Springer Nature artinfo: ui: 183750659 10.1007/s10579-023-09702-y ppf: 135 ppct: 26 formats: fmt: – @attributes: type: T – @attributes: type: P size: 1.8MB tig: atl: AC-IQuAD: Automatically Constructed Indonesian Question Answering Dataset by Leveraging Wikidata: AC-IQuAD: automatically constucted Indonesian QA dataset: K. Doxolodeo, A. A. Krisnadhi. aug: au: Doxolodeo, Kerenza Krisnadhi, Adila Alfa affil: https://ror.org/0116zj450 Faculty of Computer Science, Universitas Indonesia, Depok, Indonesia su: Interrogative (Grammar) Research personnel Grammar sug: subj: Interrogative (Grammar) Research personnel Grammar keyword: Automatic dataset construction Communication and Culture Linguistics Language Question answering dataset Under-resourced Language ab: Constructing a question-answering dataset can be prohibitively expensive, making it difficult for researchers to make one for an under-resourced language, such as Indonesian. We create a novel Indonesian Question Answering dataset that is produced automatically end-to-end. The process uses Context Free Grammar, the Wikipedia Indonesian Corpus, and the concept of the proxy model. The dataset consists of 134 thousand simple questions and 60 thousand complex questions. It achieved competitive grammatical and model accuracy compared to the translated dataset but suffers from some issues due to resource constraints. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: Language Resources & Evaluation is a copyright of Springer, 2025. All Rights Reserved. item: Language Resources & Evaluation holder: Springer Nature dt: @attributes: year: 2025 holdings: @attributes: islocal: N |
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