Name:
GenIE
Description:
Autoregressive information extraction system
Professor — Lab:
Robert WestData Science Lab

Layman description:
GenIE uses a sequence-to-sequence model that takes unstructured text as input and autoregressively generates a structured semantic representation of the information expressed in it, in the form of (subject, relation, object) triplets, as output.
Papers:
Project status:
inactive — entered showcase: 2023-03-16 — entry updated: 2024-04-16

Source code:
Lab GitHub - last commit: 2023-03-28
Code quality:
This project has not yet been evaluated by the C4DT Factory team. We will be happy to evaluate it upon request.
Project type:
Experiments
Programming language:
Python
License:
MIT