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How To Use Bert for Different Nlp Tasks
Two Phases of Training
Applying Bert for Text Classification and Sentiment Analysis
Do the Word Embeddings Come from a Static Dictionary or Are English Words Fed into the Upstream Bert Model To Derive the Embeddings
Freezing a Model
Fine Tuning
Separator Token
Question Answering
Longer Sequences during Pre-Training
Generator Model
Applying Bert to Different Nlp Problems
Bert for a Question Answering Task
Special Tokens
Fine Tuning
The Initial Word or Sub Word Embeddings Get Updated in Fine-Tuning
The Stanford Question Answering Data Set
The Evaluation for this Task
Binary Classifier
Advanced variants
Alternative To Mask Language Modeling