3 papers
eess.AS2025
Enhancing and Exploring Mild Cognitive Impairment Detection with W2V-BERT-2.0
Yueguan Wang, Tatsunari Matsushima, Soichiro Matsushima +1
This study explores a multi-lingual audio self-supervised learning model for detecting mild cognitive impairment (MCI) using the TAUKADIAL cross-lingual dataset. While speech trans…
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…