CADET is a system for rapid discovery, annotation, and extraction on text. As described in the IJCNLP 2017 System Demo paper, CADET is a workbench for helping knowledge workers find, label, and translate documents of interest. It combines a multitude of analytics together with a flexible environment for customizing the workflow for different users. This open-source framework allows for easy development of new research prototypes using a micro-service architecture based atop Docker and Apache Thrift.
Library of components for the CADET broker.
Development command line tools for interacting with the CADET system.
Web-based user interfaces for CADET with backend Java servlets.
CADET requires at least an external fetch/store service and a search service.
These can be run locally or in docker containers.
See getting_started.md for detailed instructions on running CADET.
If you use CADET in your research, please use the following citation
@InProceedings{vandurme-EtAl:2017:I17-3,
author = {Van Durme, Benjamin and Lippincott, Tom and Duh, Kevin and Burchfield, Deana and Poliak, Adam and Costello, Cash and Finin, Tim and Miller, Scott and Mayfield, James and Koehn, Philipp and Harman, Craig and Lawrie, Dawn and May, Chandler and Thomas, Max and Carrell, Annabelle and Chaloux, Julianne and Chen, Tongfei and Comerford, Alex and Dredze, Mark and Glass, Benjamin and Hao, Shudong and Martin, Patrick and Rastogi, Pushpendre and Sankepally, Rashmi and Wolfe, Travis and Tran, Ying-Ying and Zhang, Ted},
title = {CADET: Computer Assisted Discovery Extraction and Translation},
booktitle = {Proceedings of the IJCNLP 2017, System Demonstrations},
month = {November},
year = {2017},
address = {Tapei, Taiwan},
publisher = {Association for Computational Linguistics},
pages = {5--8},
url = {http://www.aclweb.org/anthology/I17-3002}
}