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 Glass, Shudong Hao, Patrick Martin, Pushpendre Rastogi, Rashmi Sankepally, Travis Wolfe, Ying-Ying Tran, Ted Zhang
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.- Anthology ID:
- I17-3002
- Volume:
- Proceedings of the IJCNLP 2017, System Demonstrations
- Month:
- November
- Year:
- 2017
- Address:
- Tapei, Taiwan
- Editors:
- Seong-Bae Park, Thepchai Supnithi
- Venue:
- IJCNLP
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 5–8
- Language:
- URL:
- https://aclanthology.org/I17-3002
- DOI:
- Bibkey:
- Cite (ACL):
- 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, et al.. 2017. CADET: Computer Assisted Discovery Extraction and Translation. In Proceedings of the IJCNLP 2017, System Demonstrations, pages 5–8, Tapei, Taiwan. Association for Computational Linguistics.
- Cite (Informal):
- CADET: Computer Assisted Discovery Extraction and Translation (Van Durme et al., IJCNLP 2017)
- Copy Citation:
- PDF:
- https://aclanthology.org/I17-3002.pdf
Export citation
@inproceedings{van-durme-etal-2017-cadet,
title = "{CADET}: Computer Assisted Discovery Extraction and Translation",
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",
editor = "Park, Seong-Bae and
Supnithi, Thepchai",
booktitle = "Proceedings of the {IJCNLP} 2017, System Demonstrations",
month = nov,
year = "2017",
address = "Tapei, Taiwan",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/I17-3002",
pages = "5--8",
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.",
}
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<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.</abstract>
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%0 Conference Proceedings %T CADET: Computer Assisted Discovery Extraction and Translation %A Van Durme, Benjamin %A Lippincott, Tom %A Duh, Kevin %A Burchfield, Deana %A Poliak, Adam %A Costello, Cash %A Finin, Tim %A Miller, Scott %A Mayfield, James %A Koehn, Philipp %A Harman, Craig %A Lawrie, Dawn %A May, Chandler %A Thomas, Max %A Carrell, Annabelle %A Chaloux, Julianne %A Chen, Tongfei %A Comerford, Alex %A Dredze, Mark %A Glass, Benjamin %A Hao, Shudong %A Martin, Patrick %A Rastogi, Pushpendre %A Sankepally, Rashmi %A Wolfe, Travis %A Tran, Ying-Ying %A Zhang, Ted %Y Park, Seong-Bae %Y Supnithi, Thepchai %S Proceedings of the IJCNLP 2017, System Demonstrations %D 2017 %8 November %I Association for Computational Linguistics %C Tapei, Taiwan %F van-durme-etal-2017-cadet %X 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. %U https://aclanthology.org/I17-3002 %P 5-8
Markdown (Informal)
[CADET: Computer Assisted Discovery Extraction and Translation](https://aclanthology.org/I17-3002) (Van Durme et al., IJCNLP 2017)
- CADET: Computer Assisted Discovery Extraction and Translation (Van Durme et al., IJCNLP 2017)
ACL
- 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, et al.. 2017. CADET: Computer Assisted Discovery Extraction and Translation. In Proceedings of the IJCNLP 2017, System Demonstrations, pages 5–8, Tapei, Taiwan. Association for Computational Linguistics.