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Chris Callison-Burch
Johns Hopkins University
$1,473,000
Attributed
$3,052,339
Total exposure
8
Grants
2
Lead (contact PI)
Attributed= this PI's even-split share of every grant they're on (the fair, additive number). Exposure = full size of all those grants.
Funding over time
peak $1.2M · FY2007–19$2M$1.5M$1M$500K$0
'07
'08
'09
'10
'11
'12
'13
'14
'15
'16
'17
'18
'19
Funding mix
By agency
NSF$3,052,339 · 8
By mechanism
—$3,052,339 · 8
Top collaborators
- Mark Liberman2 shared
- Benjamin Van Durme1 shared
- Christopher M Cieri1 shared
- Damianos Karakos1 shared
- David E Yarowsky1 shared
- Eleni Miltsakaki1 shared
- Julia B Ticona1 shared
- Sanjeev P Khudanpur1 shared
Grant awards (8)
FW-HTF-RL: Collaborative Research: Enabling Marginalized Rural and Urban Digital Workers to Collaborate with AI to Learn Skills, Increase Wages, and Access Creative Work$374,716
· FY2019 · CSE · contact PI
STTR Phase I: Simplification AI for Workforce Upskilling$224,743
· FY2019 · TIP
CI-NEW: NIEUW: Novel Incentives and Workflows in Linguistic Data Collection and Annotation$1,234,465
· FY2017 · CSE
CI-P: Planning for Scalable Language Resource Creation through Novel Incentives and Crowdsourcing$99,754
· FY2016 · CSE
EAGER: Simplification as Machine Translation$99,663
· FY2014 · CSE · contact PI
EAGER: Combining natural language inference and data-driven paraphrasing$99,535
· FY2012 · CSE
RI: Medium: Collaborative Research: Semi-Supervised Discriminative Training of Language Models$518,250
· FY2010 · CSE
RI: Multi-Level Modeling of Language and Translation$401,213
· FY2007 · CSE