rz-zhang/PRBoost
The codes for our ACL'22 paper: PRBOOST: Prompt-Based Rule Discovery and Boosting for Interactive Weakly-Supervised Learning.
PRBoost helps machine learning practitioners efficiently categorize unstructured text data by identifying patterns in labeled examples. You provide a small set of labeled text, and it generates rules to classify similar texts. This is ideal for data scientists or NLP engineers who need to quickly label large datasets without extensive manual annotation.
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Use this if you have a limited amount of labeled text data and need to rapidly create rules for classifying a much larger unlabeled text corpus.
Not ideal if you require explainable rules based on human-interpretable linguistic patterns, as the rules are automatically discovered prompts.
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Mar 18, 2022
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