hanjiale/HCRP
Code of paper Exploring Task Difficulty for Few-Shot Relation Extraction. https://arxiv.org/abs/2109.05473
This project helps natural language processing researchers evaluate methods for extracting relationships between entities in text, even when very few examples of a specific relationship are available. It takes labeled text datasets and produces performance metrics (like accuracy) to compare how well different approaches identify relationships. The primary users are academic or industry researchers working on advanced NLP techniques for information extraction.
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Use this if you are an NLP researcher developing or evaluating few-shot relation extraction models and need a robust baseline or comparison for your methods.
Not ideal if you are looking for a pre-built application to perform relation extraction on your own data without deep understanding of machine learning models.
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Sep 12, 2021
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