9 citations · 17 across the 4 of their papers we have counts for
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cs.CL2023
Bridging the Granularity Gap for Acoustic Modeling
Chen Xu, Yuhao Zhang, Chengbo Jiao +7
While Transformer has become the de-facto standard for speech, modeling upon the fine-grained frame-level features remains an open challenge of capturing long-distance dependencies…
cs.CL2022★ 9 cited
Supporting Medical Relation Extraction via Causality-Pruned Semantic Dependency Forest
Yifan Jin, Jiangmeng Li, Zheng Lian +2
Medical Relation Extraction (MRE) task aims to extract relations between entities in medical texts. Traditional relation extraction methods achieve impressive success by exploring…
cs.CL2022★ 4 cited
Learning Multiscale Transformer Models for Sequence Generation
Bei Li, Tong Zheng, Yi Jing +3
Multiscale feature hierarchies have been witnessed the success in the computer vision area. This further motivates researchers to design multiscale Transformer for natural language…