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==Classical NLP== | ==Classical NLP== | ||
The Classical NLP consists of creating a pipeline using processors to create | The Classical NLP consists of creating a pipeline using processors to create annotations from text files.<br> | ||
Below is an example of a few processors.<br> | Below is an example of a few processors.<br> | ||
* Tokenization | * Tokenization | ||
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* Part-of-speech annotation | * Part-of-speech annotation | ||
* Named Entity Recognition | * Named Entity Recognition | ||
==Machine Learning== | ==Machine Learning== | ||
===Datasets and Challenges=== | ===Datasets and Challenges=== |