Improving LSTM CRFs using character-based compositions for Korean named entity recognition

This publication has 4 references indexed in Scilit:

• Named Entity Recognition with Bidirectional LSTM-CNNs
  Transactions of the Association for Computational Linguistics, 2016
• Conditional Random Fields for Korean Morpheme Segmentation and POS Tagging
  ACM Transactions on Asian and Low-Resource Language Information Processing, 2015
• Learning Deep Architectures for AI
  Foundations and Trends in Machine Learning, 2009
• Information Extraction
  Foundations and Trends® in Databases, 2008