State of the Art Natural Language Understanding at Scale - David Talby

State of the Art Natural Language Understanding at Scale - David Talby

Open Data Science via YouTube Direct link

SO, TRAIN YOUR OWN DOMAIN-SPECIFIC MODELS

20 of 23

20 of 23

SO, TRAIN YOUR OWN DOMAIN-SPECIFIC MODELS

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State of the Art Natural Language Understanding at Scale - David Talby

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  1. 1 Intro
  2. 2 CONTENTS
  3. 3 THEN, YOU NEED TO UNDERSTAND LANGUAGE
  4. 4 WHAT MAKES LANGUAGE HARD
  5. 5 INTRODUCING SPARK NLP
  6. 6 THE PERFORMANCE BOTTLENECK
  7. 7 SPARK NLP 2017: NATIVE SPARK EXTENSION
  8. 8 BENCHMARK: TRAINING
  9. 9 BENCHMARK: SCALING
  10. 10 SPARK NLP 2018 IMPROVEMENTS
  11. 11 FRICTIONLESS REUSE & OPTIMIZATION
  12. 12 WHAT EXACTLY IS "STATE OF THE ART"?
  13. 13 NAMED ENTITY RECOGNITION
  14. 14 NER WITH DEEP LEARNING
  15. 15 WORD EMBEDDINGS
  16. 16 EMBEDDINGS: THE NEXT GENERATION
  17. 17 SPARK NLP 2018: EMBEDDED TENSORFLOW
  18. 18 PERFORMANCE: THE NEXT LEVEL
  19. 19 SENTIMENT ANALYSIS
  20. 20 SO, TRAIN YOUR OWN DOMAIN-SPECIFIC MODELS
  21. 21 E-DISCOVERY
  22. 22 WHAT'S A GOOD FIRST NLP PROJECT?
  23. 23 WHAT EXPECTATIONS SHOULD I SET?

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