Summarization-based Data Augmentation for Document Classification

1 code implementation • 1 Dec 2023 • Yueguan Wang, Naoki Yoshinaga

Despite the prevalence of pretrained language models in natural language understanding tasks, understanding lengthy text such as document is still challenging due to the data sparseness problem.

Classification Data Augmentation +2

Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation

1 code implementation • 8 Jul 2023 • Yulong Chen, Huajian Zhang, Yijie Zhou, Xuefeng Bai, Yueguan Wang, Ming Zhong, Jianhao Yan, Yafu Li, Judy Li, Michael Zhu, Yue Zhang

Additionally, based on the same intuition, we propose a 2-Step method, which takes both conversation and summary as input to simulate human annotation process.

Are All Steps Equally Important? Benchmarking Essentiality Detection of Events

no code implementations • 8 Oct 2022 • Haoyu Wang, Hongming Zhang, Yueguan Wang, Yuqian Deng, Muhao Chen, Dan Roth

In this paper, we address this gap by examining the extent to which current models comprehend the essentiality of step events in relation to a goal event.

Benchmarking