embedding 和segmentation representation
传统的neural Model for Chinese Word Segmentation 中文分词一般是基于字符的序列标签。每个字符可以被标记为集合{B, M, E, S}中的一个元素。 B - Begin, M - Middle, E-End of a multi-character segmentation(多字符分割)，S 代表 Single character segmentation
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相关文章
- 1. Graph Embedding 、Network Embedding和Knowledge Graph Embedding以及Representation 和Embedding之间的区分
- 2. Content Tree Word Embedding for document representation
- 3. Piecewise Flat Embedding for Image Segmentation
- 4. word2vec和word embedding
- 5. Improving Named Entity Recognition for Chinese Social Media with Word Segmentation Representation Le
- 6. CenterMask: single shot instance segmentation with point representation
- 7. Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
- 8. FEELVOS：Fast End-to-End Embedding Learning for Video Object Segmentation
- 9. Self-Supervised Representation Learning
- 10. semantic segmentation 和instance segmentation