Corpus ID: 174798220

Back Attention Knowledge Transfer for Low-resource Named Entity Recognition

@article{Sun2019BackAK,
  title={Back Attention Knowledge Transfer for Low-resource Named Entity Recognition},
  author={Linghao Sun and Huixiong Yi and H. Chen},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.01183}
}
In recent years, great success has been achieved in the field of natural language processing (NLP), thanks in part to the considerable amount of annotated resources. For named entity recognition (NER), most languages do not have such an abundance of labeled data as English, so the performances of those languages are relatively lower. To improve the performance, we propose a general approach called Back Attention Network (BAN). BAN uses a translation system to translate other language sentences… Expand
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References

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Named Entity Recognition with Bilingual Constraints
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