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Ching Wen Yang

2 accepted papers

2023

Breaking Boundaries in Retrieval Systems: Unsupervised Domain Adaptation with Denoise-Finetuning

EMNLP 2023long findings

Dense retrieval models have exhibited remarkable effectiveness, but they rely on abundant labeled data and face challenges when applied to different domains. Previous domain adaptation methods have employed generative models to generate pseudo queries, creating pseudo datasets to enhance the perform…

Cited by 0SourceScholar
2023

Improving Multi-Criteria Chinese Word Segmentation through Learning Sentence Representation

EMNLP 2023short findings

Recent Chinese word segmentation (CWS) models have shown competitive performance with pre-trained language models' knowledge. However, these models tend to learn the segmentation knowledge through in-vocabulary words rather than understanding the meaning of the entire context. To address this issue,…

Cited by 0SourceScholar