Papers by Guokai Zheng

2 papers
Word Segmentation by Separation Inference for East Asian Languages (2022.findings-acl)

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Challenge: Chinese Word Segmentation (CWS) is a sequence labeling task that divides sentences into words . despite diverse tagging schemas, they all carry implicit position information.
Approach: They propose to model the separation state of every two consecutive characters by tagging them as two tags.
Outcome: The proposed framework outperforms state-of-the-art on Japanese and Korean Word Segmentation datasets.
When Generative Adversarial Networks Meet Sequence Labeling Challenges (2024.emnlp-main)

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Challenge: Existing approaches for sequence labeling use a feature extractor and sequence tagger . a recent study shows that SLGAN is versatile and highly effective .
Approach: They propose a framework that harnesses the capabilities of Generative Adversarial Networks to address sequence labeling challenges.
Outcome: The proposed framework exhibits strong adaptability to various sequence labeling tasks.

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