Search Results for author:
Found 4 papers, 1 papers with code
A Test Suite for Evaluating Discourse Phenomena in Document-level Neural Machine Translation
The need to evaluate the ability of context-aware neural machine translation (NMT) models in dealing with specific discourse phenomena arises in document-level NMT.
LoCI-DiffCom: Longitudinal Consistency-Informed Diffusion Model for 3D Infant Brain Image Completion
The infant brain undergoes rapid development in the first few years after birth. Compared to cross-sectional studies, longitudinal studies can depict the trajectories of infants brain development with higher accuracy, statistical power and flexibility. However, the collection of infant longitudinal magnetic resonance (MR) data suffers a notorious dropout problem, resulting in incomplete datasets with missing time points.
Cas-DiffCom: Cascaded diffusion model for infant longitudinal super-resolution 3D medical image completion
Early infancy is a rapid and dynamic neurodevelopmental period for behavior and neurocognition.
Shallow Discourse Annotation for Chinese TED Talks
Text corpora annotated with language-related properties are an important resource for the development of Language Technology.
