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