An evaluation of recent neural sequence tagging models in Turkish named entity recognition

Keyphrases

• Named Entity Recognition 100%
• Neural Sequence Labeling 100%
• Transformer Network 75%
• Bidirectional Long Short-term Memory (BiLSTM) 50%
• Neural Architecture 50%
• Transfer Learning 25%
• F-measure 25%
• Language Processing 25%
• Processing Applications 25%
• CA Model 25%
• Big Data 25%
• Subword 25%
• Word-level 25%
• Sequence Tagging 25%
• Data Operations 25%
• Character-level 25%
• Relation Extraction 25%
• Field Layer 25%
• Conditional Random Fields 25%
• Morphologically Rich Languages 25%
• Named Entity 25%
• Morphologically Rich 25%
• Question Answering 25%
• Timing Analysis 25%
• Digital Media Content 25%
• Memory Network 25%
• Less Studied Languages 25%

Computer Science

• Named Entity Recognition 100%
• Bidirectional Long Short-Term Memory Network 50%
• Transfer Learning 25%
• Research Effort 25%
• Big Data 25%
• Conditional Random Field 25%
• Program Content 25%
• Language Processing 25%