Neural Cross-lingual Named Entity Recognition with Minimal Resources

@inproceedings{Xie2018NeuralCN,
  title={Neural Cross-lingual Named Entity Recognition with Minimal Resources},
  author={Jiateng Xie and Zhilin Yang and Graham Neubig and Noah A. Smith and Jaime G. Carbonell},
  booktitle={EMNLP},
  year={2018}
}
For languages with no annotated resources, unsupervised transfer of natural language processing models such as named-entity recognition (NER) from resource-rich languages would be an appealing capability. However, differences in words and word order across languages make it a challenging problem. To improve mapping of lexical items across languages, we propose a method that finds translations based on bilingual word embeddings. To improve robustness to word order differences, we propose to use… CONTINUE READING

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A Bilingual Adversarial Autoencoder for Unsupervised Bilingual Lexicon Induction

  • IEEE/ACM Transactions on Audio, Speech, and Language Processing
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