Advanced Cross Linugal Information Retrieval and Question Answering (ACLIA)
The dataset is used for the task of cross-lingual question answering but the complexity of the task is higher than CLQA dataset.
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- 2026-10-10
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Cross Language Q&A (CLQA) dataset collection research.nii.ac.jp
It supports following bi-lingua and mono-lingua:
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Overview of the MEDIQA 2019 Shared Task on Textual Inference, Question Entailment and Question Answering aclweb.org
, Asma Ben Abacha, et al., ACL-W 2019, Aug 2019.
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CLIR Test Collections research.nii.ac.jp
This dataset can be used for cross lingual IR between CJKE (Chinese-Japanese-Korean-English) languages. It is suitable for the following tasks:
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LC-QuAD sda.cs.uni-bonn.de
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Unsupervised Question Answering by Cloze Translation arxiv.org
, Patrick Lewis, et al., ACL 2019, Jun 2019.
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Improving Question Answering over Incomplete KBs with Knowledge-Aware Reader arxiv.org
, Wenhan Xiong, et al., ACL 2019, May 2019.
Information Retrieval › Datasets > Standard IR Collections: “The dataset is used for the task of cross-lingual question answering but the complexity of the task is higher than CLQA dataset.”