CADET: Computer Assisted Discovery Extraction and Translation

Benjamin Van Durme, Tom Lippincott, Kevin Duh, Deana Burchfield, Adam Poliak, Cash Costello, Tim Finin, Scott Miller, James Mayfield, Philipp Koehn, Craig Harman, Dawn Lawrie, Chandler May, Max Thomas, Annabelle Carrell, Julianne Chaloux, Tongfei Chen, Alex Comerford, Mark Dredze, Benjamin GlassShudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying Ying Tran, Ted Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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.1

Original languageEnglish (US)
Title of host publication8th International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP 2017, System Demonstrations
PublisherAssociation for Computational Linguistics (ACL)
Pages5-8
Number of pages4
ISBN (Electronic)9781948087025
StatePublished - 2017
Externally publishedYes
Event8th International Joint Conference on Natural Language Processing, IJCNLP 2017 - Taipei, Taiwan, Province of China
Duration: Nov 27 2017Dec 1 2017

Publication series

Name8th International Joint Conference on Natural Language Processing - Proceedings of the IJCNLP 2017, System Demonstrations

Conference

Conference8th International Joint Conference on Natural Language Processing, IJCNLP 2017
Country/TerritoryTaiwan, Province of China
CityTaipei
Period11/27/1712/1/17

ASJC Scopus subject areas

  • Language and Linguistics
  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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