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Helen Yannakoudakis is working on machine learning for natural language processing, with emphasis on real-world applications and non-canonical language, such as automated writing/speech assessment and abusive language detection in social media. Her research interests include the development of open-domain models of language, learning with limited data, transfer and multi-task learning, long-form generation models, dialogue systems, and explainable machine learning. Helen holds a PhD in Natural Language and Information Processing from the University of Cambridge. 

Research Interests

  • Development of open-domain models of language
  • Learning with limited data
  • Transfer and multi-task learning
  • Long-form generation models
  • Dialogue systems
  • Explainable machine learning

Further information