Papers by Xiaoning Song
MECT: Multi-Metadata Embedding based Cross-Transformer for Chinese Named Entity Recognition (2021.acl-long)
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| Challenge: | Named Entity Recognition (NER) is a sequence tagging task that extracts named entities from unstructured text. |
| Approach: | They propose to integrate Chinese character features with radical-level embedding to improve Chinese NER by integrating Chinese character information. |
| Outcome: | The proposed method can improve Chinese Named Entity Recognition (NER) on well-known datasets. |