divyanshugit/Inception-of-NLP
Deep Learning for NLP
This project is a curated collection of foundational academic papers in Natural Language Processing (NLP) using deep learning techniques. It helps researchers and students understand the evolution and core concepts of modern NLP. You'll find papers on word embeddings, neural network architectures like Transformers, and optimization methods, providing a structured learning path for anyone diving deep into the field.
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Use this if you are a researcher, student, or practitioner looking for a structured reading list to understand the key advancements in deep learning for natural language processing.
Not ideal if you are looking for ready-to-use code, software, or a practical implementation of NLP models.
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MIT
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Dec 10, 2022
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