aaBadri/nlp-papers
Must-read papers on Natural Language Processing (NLP)
This collection helps you understand the foundational and cutting-edge research in Natural Language Processing (NLP). It provides a curated list of influential academic papers, grouped by key areas like Transformer models, language generation techniques, and dialogue systems. Researchers, students, or practitioners working on text-based AI applications will find this useful for grasping core concepts and recent advancements.
110 stars. No commits in the last 6 months.
Use this if you need to quickly identify and read seminal papers in various subfields of Natural Language Processing to deepen your knowledge or inform your project's direction.
Not ideal if you are looking for ready-to-use code, software implementations, or a step-by-step tutorial for building an NLP application.
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Aug 17, 2022
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