Durme, Benjamin VanLippincott, TomDuh, KevinBurchfield, DeanaPoliak, AdamCostello, CashFinin, TimMiller, ScottMayfield, JamesKoehn, PhilippHarmon, CraigLawrie, DawnMay, ChandlerThomas, MaxCarrell, AnnabelleChaloux, Julianne2018-10-172018-10-172017-11-27http://hdl.handle.net/11603/115888th International Joint Conference on Natural Language Processing (System Demonstrations)Computer Assisted Discovery Extraction and Translation (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.4 pagesen-USThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.information extractionknowledge graphnatural language processingUMBC Ebiquity Research GroupText