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Chun Yi Lin

2 accepted papers

2023

Improved Unsupervised Chinese Word Segmentation Using Pre-trained Knowledge and Pseudo-labeling Transfer

EMNLP 2023short main

Unsupervised Chinese word segmentation (UCWS) has made progress by incorporating linguistic knowledge from pre-trained language models using parameter-free probing techniques. However, such approaches suffer from increased training time due to the need for multiple inferences using a pre-trained lan…

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