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 / Description of output

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.11: Please see http://hltcoe.github.io/cadet for more information. The demo consists of a running system (both online and locally on a laptop), as well as pointers for building the software. 
Original languageEnglish
Title of host publicationProceedings of the IJCNLP 2017, System Demonstrations
Place of PublicationTaipei, Taiwan
PublisherAssociation for Computational Linguistics
Pages5-8
Number of pages4
Publication statusPublished - 1 Dec 2017
EventThe 8th International Joint Conference on Natural Language Processing - Taipei, Taiwan, Province of China
Duration: 27 Nov 20171 Dec 2017
http://ijcnlp2017.org/site/page.aspx?pid=901&sid=1133&lang=en

Conference

ConferenceThe 8th International Joint Conference on Natural Language Processing
Abbreviated titleIJCNLP 2017
Country/TerritoryTaiwan, Province of China
CityTaipei
Period27/11/171/12/17
Internet address

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