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LREC-COLING 2024main

Introducing CQuAE : A New French Contextualised Question-Answering Corpus for the Education Domain

Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

DOI:10.63317/4cjpjchigp8i

Abstract

We present a new question answering corpus in French designed to educational domain. To be useful in such domain, we have to propose more complex questions and to be able to justify the answers on validated material. We analyze some properties of this corpus. The last part of this paper will be devoted to present the first experiments we have carried out to demonstrate the value of this dataset for learning a Retrieval Augmented Genration framework. Different experiments are proposed, with an automatic evaluation. A human evaluation is proposed to confirm or infirm this automatic evaluation.

Details

Paper ID
lrec2024-main-0808
Pages
pp. 9234-9244
BibKey
gerald-etal-2024-introducing
Editor
N/A
Publisher
European Language Resources Association (ELRA) and ICCL
ISSN
2522-2686
ISBN
979-10-95546-34-4
Conference
Joint International Conference on Computational Linguistics, Language Resources and Evaluation
Location
Turin, Italy
Date
20 May 2024 25 May 2024

Authors

  • TG

    Thomas Gerald

  • AV

    Anne Vilnat

  • SE

    Sofiane Ettayeb

  • LT

    Louis Tamames

  • PP

    Patrick Paroubek

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