ReflectSumm: A Benchmark for Course Reflection Summarization
It addresses the problem of summarizing reflective texts in education, but it is incremental as it focuses on a new dataset rather than novel methods.
The paper introduces ReflectSumm, a benchmark dataset for summarizing students' reflective writing, and evaluates it with state-of-the-art baselines to establish benchmarks for further research.
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.