This library is designed to provide utilities for working with the outputs of entity typing models such as SPERT, E2EET, or annotation tools such as Quickgraph. Puggle has three main purposes:
- Provide easy parsing of the output (i.e. annotations) of entity typing models
- Enable the connection between structured data (csv) and those annotations
- Provide functionality to easily load the structured data + annotations into a Neo4j graph
We do not include any code for actually running machine learning models here. Puggle is purely designed for loading the results of such models into Python-based classes, (optionally) manipulating that data, and then easily importing the data into Neo4j.
📘📗📙 Full README and code documentation available on ReadtheDocs. 📙📗📘