A Concise Model for Multi-Criteria Chinese Word Segmentation with Transformer Encoder

EMNLP, pp. 2887-2897, 2020.

Cited by: 1|Views14
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Abstract:

Multi-criteria Chinese word segmentation (MCCWS) aims to exploit the relations among the multiple heterogeneous segmentation criteria and further improve the performance of each single criterion. Previous work usually regards MCCWS as different tasks, which are learned together under the multi-task learning framework. In this paper, we pr...More

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