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cs.CL2023
Summarization-based Data Augmentation for Document Classification
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 spars…
cs.CL2023
Revisiting Cross-Lingual Summarization: A Corpus-based Study and A New Benchmark with Improved Annotation
Yulong Chen, Huajian Zhang, Yijie Zhou +8
Most existing cross-lingual summarization (CLS) work constructs CLS corpora by simply and directly translating pre-annotated summaries from one language to another, which can conta…
cs.CL2022
Are All Steps Equally Important? Benchmarking Essentiality Detection of Events
Haoyu Wang, Hongming Zhang, Yueguan Wang +3
Natural language expresses events with varying granularities, where coarse-grained events (goals) can be broken down into finer-grained event sequences (steps). A critical yet over…