NLP-101

Natural Language Processing (NLP) is a vast and rapidly evolving field at the intersection of linguistics, computer science, and artificial intelligence. The following pages offer a beginner-friendly introduction to the core concepts and techniques in NLP, providing some necessary foundation for efficient work with lambeq and exploring further this fascinating domain.

• Introduction
  • NLP, QNLP and Computational Lingustics
  • Tasks and applications
  • Typical NLP workflow
• Working with text data
  • Datasets and corpora
  • Text pre-processing
  • Tokenization
  • Handling unknown words
• Text classification
  • Binary vs multi-class classification
  • Loss functions
  • Evaluation metrics
• Machine learning best practices
  • Cross-validation
• References for further study
  • Reading
  • Online courses
  • Organisations
  • Software tools