bloomberg/emnlp21_fewrel
Code to reproduce the results of the paper 'Towards Realistic Few-Shot Relation Extraction' (EMNLP 2021)
This project provides the code used to evaluate methods for 'few-shot relation extraction,' a technique that helps identify relationships between entities in text, even with very little training data. You provide text data with labeled relationships, and it outputs a model that can identify those same types of relationships in new, unseen text. It's intended for natural language processing researchers and computational linguists studying advanced information extraction.
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Use this if you are a researcher in natural language processing and need to reproduce specific experimental results in few-shot relation extraction.
Not ideal if you are looking for a general-purpose, production-ready tool for extracting relationships from text or a library to integrate into your application.
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Python
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MIT
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Last pushed
Jun 12, 2023
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