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ReflectSumm: A Benchmark for Course Reflection Summarization

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

DOI:10.63317/4ueyiqi7a9j4

Abstract

This paper introduces ReflectSumm, a novel summarization dataset specifically designed for summarizing students’ reflective writing. The goal of ReflectSumm is to facilitate developing and evaluating novel summarization techniques tailored to real-world scenarios with little training data, with potential implications in the opinion summarization domain in general and the educational domain in particular. The dataset encompasses a diverse range of summarization tasks and includes comprehensive metadata, enabling the exploration of various research questions and supporting different applications. To showcase its utility, we conducted extensive evaluations using multiple state-of-the-art baselines. The results provide benchmarks for facilitating further research in this area.

Details

Paper ID
lrec2024-main-1207
Pages
pp. 13819-13846
BibKey
elaraby-etal-2024-reflectsumm
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

  • YZ

    Yang Zhong

  • ME

    Mohamed Elaraby

  • DL

    Diane Litman

  • AB

    Ahmed Ashraf Butt

  • MM

    Muhsin Menekse

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