2017
IJCNLP
IJCNLP 2017
CADET: Computer Assisted Discovery Extraction and Translation
Abstract
AbstractComputer 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.
👥
Mega-Team
- 27 authors
🌉
Interdisciplinary Bridge
- Computer Science and Natural Language Processing
🐣
Hot Topic Early Bird
- document analysis
Authors
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 Glass,
Shudong Hao,
Patrick Martin,
Pushpendre Rastogi,
Rashmi Sankepally,
Travis Wolfe,
Ying-Ying Tran,
Ted Zhang