Relation Extraction with Llama3 Models

Enhanced relation extraction by fine-tuning Llama3–8B with a synthetic dataset created using Llama3–70B

Premise

Relation extraction (RE) is the task of extracting relationships from unstructured text to identify connections between various named entities. It is done in conjunction with named entity recognition (NER) and is an essential step in a natural langage processing pipeline. With the rise of Large Language Models (LLMs), traditional supervised approaches that involve tagging entity spans and classifying relationships (if any) between them …

dall dall-e dataset extraction fine-tuning hands-on-tutorials identify llama 3 llama3 llm natural ner nlp pipeline processing recognition relationships synthetic text unstructured