Papers with TopWORDS-Seg based

1 papers
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference (2022.acl-long)

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Challenge: No existing methods can achieve effective text segmentation and word discovery in open domain Chinese texts.
Approach: They propose a Bayesian-based method that can achieve effective text segmentation and word discovery in open domain.
Outcome: The proposed method enjoys robust performance and transparent interpretation when no training corpus and domain vocabulary are available.

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