timoschick/pet
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
This tool helps you classify text and understand language relationships, even when you have very little data. You provide text examples and the tool outputs categories or relationships, like whether a review is positive or negative. It's designed for anyone who needs to make sense of text data quickly, such as researchers analyzing surveys, marketers categorizing customer feedback, or HR managers screening resumes.
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Use this if you need to classify or analyze text with high accuracy but have very few labeled examples, or even no examples at all.
Not ideal if you have a large, well-labeled dataset for your text classification needs, as traditional supervised methods might be simpler to implement.
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Language
Python
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Apache-2.0
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Last pushed
Jun 12, 2023
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