rguthrie3/DeepLearningForNLPInPytorch
An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.
This tutorial helps you understand how to use deep learning techniques to analyze and predict linguistic structures within text. You'll start with fundamental concepts and progress to building models that can process text input and output classifications like part-of-speech tags or named entities. It's designed for students or practitioners in Natural Language Processing who want to apply deep learning to text data.
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Use this if you are an NLP practitioner or student who needs to learn how to build deep learning models in PyTorch for tasks involving linguistic structure prediction, such as named entity recognition or part-of-speech tagging.
Not ideal if you are looking for a tutorial focused on computer vision, older deep learning frameworks, or only basic language modeling without advancing to more complex linguistic structure analysis.
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Jan 22, 2023
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