phanxuanphucnd/Active-learning-in-NLP
Active learning in NLP
This is a curated reading list and collection of resources for active learning in Natural Language Processing (NLP). It provides a structured overview of research papers, methodologies, and tools related to efficiently training NLP models. Data scientists, machine learning engineers, and NLP researchers working with text data would use this to understand and apply active learning techniques.
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Use this if you need to build or improve NLP models efficiently by strategically selecting the most informative data points for labeling.
Not ideal if you are looking for a ready-to-use application or a simple, off-the-shelf NLP tool.
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Python
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MIT
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Dec 14, 2022
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