Disordered-DABS: A Benchmark for Dynamic Aspect-Based Summarization in Disordered Texts

arXiv:2402.10554v1 Announce Type: new
Abstract: Aspect-based summarization has seen significant advancements, especially in structured text. Yet, summarizing disordered, large-scale texts, like those found in social media and customer feedback, remains a significant challenge. Current research largely targets predefined aspects within structured texts, neglecting the complexities of dynamic and disordered environments. Addressing this gap, we introduce Disordered-DABS, a novel benchmark for dynamic aspect-based summarization tailored to unstructured text. Developed by adapting existing datasets for cost-efficiency and scalability, our comprehensive experiments and …

abstract arxiv benchmark challenge complexities cs.cl current customer customer feedback dynamic environments feedback found media research scale social social media summarization summarizing targets text type