ReflectSumm: A Benchmark for Course Reflection Summarization
Zhong, Yang, Elaraby, Mohamed, Litman, Diane, Butt, Ahmed Ashraf, Menekse, Muhsin
–arXiv.org Artificial Intelligence
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, %practical tasks 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.
arXiv.org Artificial Intelligence
Apr-22-2024
- Country:
- North America
- Dominican Republic (0.04)
- United States
- Pennsylvania > Allegheny County
- Pittsburgh (0.04)
- New York > New York County
- New York City (0.04)
- California > San Diego County
- San Diego (0.04)
- Pennsylvania > Allegheny County
- Canada
- Ontario > Toronto (0.04)
- British Columbia > Metro Vancouver Regional District
- Vancouver (0.04)
- Europe
- Asia
- Singapore (0.04)
- Middle East > Jordan (0.04)
- China > Hong Kong (0.04)
- North America
- Genre:
- Instructional Material > Course Syllabus & Notes (1.00)
- Research Report
- Experimental Study (0.88)
- New Finding (0.66)
- Industry:
- Technology: