VIVE: An LLM-based approach to identifying and extracting context-specific personal values from text
VIVE (Value Identification and Value Extraction), is a novel end-to-end method for the identification and extraction of context-specific personal values from natural language text. VIVE leverages a hybrid intelligence approach to identify which values are particularly important in a given context (Value Identification) and utilizes the natural language understanding capabilities of state-of-the-art large language models (LLMs) to extract the identified values from text (Value Extraction). For a comprehensive description of VIVE and its motivation please see the attached file Brigola_Master_Thesis.pdf.
This repository contains five main folders.
The three folders Value_Identification, Value_Representation, and Value_Extraction contain the repectives implementations of the VIVE modules.
The folder Netherlands Red Cross case study contains supplementary materials of our case study to evaluate VIVE. The folder Evaluation contains the evaluation of our instantiation of VIVE to the context of the Netherlands Red Cross case study.