OSU-NLP-Group/QA4RE
[ACL'23 Findings] "Aligning Instruction Tasks Unlocks Large Language Models as Zero-Shot Relation Extractors"
This project helps natural language processing practitioners automatically extract relationships between entities from text, even from fields with limited training data. It takes raw text inputs and outputs identified relationships, like "person works for organization," without needing specific examples for every relation type. This is ideal for NLP researchers and data scientists who work with large language models.
No commits in the last 6 months.
Use this if you need to identify specific relationships within unstructured text using a large language model, especially in domains where traditional, labeled training data for relation extraction is scarce.
Not ideal if you are looking for a plug-and-play solution without any technical setup, as it requires some familiarity with Python environments and command-line execution.
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Python
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Last pushed
Dec 22, 2023
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