Xiantong Zhen

Meta-Learning with Variational Semantic Memory for Word Sense Disambiguation

2021 · arXiv (Cornell University)

A critical challenge faced by supervised word sense disambiguation (WSD) is the lack of large annotated datasets with sufficient coverage of words in their diversity of senses. This inspired recent research on few-shot WSD using …

Order-preserving Consistency Regularization for Domain Adaptation and Generalization

2023

Deep learning models fail on cross-domain challenges if the model is oversensitive to domain-specific attributes, e.g., lightning, background, camera angle, etc. To alleviate this problem, data augmentation coupled with consistency regularization are commonly adopted to …