DLNLP

The submitted papers must include research and developments in all fields of Deep learning applied to Natural Language Processing (but not limited to):  

• Pre-train or fine-tuned large language models

•  Information extraction

• Sentiment analysis

• Named entity recognition and disambiguation

• Text classification and summarization

• Text simplification 

• Text generation

• Social media analytics

• Optical character recognition

• Speech synthesis

• Machine translation

• Pattern recognition

• Syntactic analysis and part-of-speech tagging

• Dialect identification

• Dialect translation

• Fake news detection

• Financial NLP

• Healthcare NLP, ...