sebastianruder/NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
This is a reference guide for anyone working with Natural Language Processing (NLP) applications. It helps you quickly understand the current state-of-the-art for various text-based tasks, showing what approaches are most effective and which datasets are commonly used. Data scientists, researchers, and engineers building language models or text analysis tools will find this useful for staying up-to-date and guiding their work.
22,981 stars. No commits in the last 6 months.
Use this if you need to quickly find the most effective methods and benchmark datasets for a specific NLP task in English, Chinese, Vietnamese, or other supported languages.
Not ideal if you are looking for a tutorial or hands-on code examples to implement an NLP solution from scratch.
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Jul 28, 2024
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