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quick history of nlp

Tags: nlp

  • 1960’s - pattern matching and rules, unrealistic expectations

    • very large systems attempting symbolic representations
  • 1970’s-80’s - linguistically rich, logic-driven systems, labor-intensive successes on few narrow tasks

    • working dialogue systems
    • heavily engineered for specific domains
  • 90’s-20’s - statistical revolution, machine learning becomes a central part of nlp

  • 2010’s - deep learning takes off and accelerates progress

    • 2018-2019 - new surge of progress on unlabled data
  • result, progress is very fast, months to one year on lead times

    • -> focus on metalearning, how to learn quickly