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About the author
What is Natural Language Understanding?
The value proposition of NLU
New risks to consider
How to find NLU use cases likely to succeed?
Should I build or buy?
The most important work happens before computers are involved
Defining business problems by their inputs
Vetting the documents available for automation
Quality Assurance and Feedback Loops
Models from a 10,000 Foot View
Every model in 60 seconds
Learning representations and solutions
Parameterization and its structure
Who will train and update my model?
What is my model capable of learning?
Should I pick the newest model?
Trends and Predictions
Multilingual by default
Lower training data requirements
Integrated development environments
Layout and Image Understanding
Supporting complex outputs and domain constraints
Talking to models instead of invoking them
OCR will approach human levels