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- Publications
- Influence
Effective Crowd Annotation for Relation Extraction
- A. Liu, S. Soderland, Jonathan Bragg, C. H. Lin, Xiao Ling, Daniel S. Weld
- Computer Science
- HLT-NAACL
- 1 June 2016
TLDR
Crowdsourcing Multi-Label Classification for Taxonomy Creation
- Jonathan Bragg, Mausam, Daniel S. Weld
- Computer Science
- HCOMP
- 3 November 2013
TLDR
MicroTalk: Using Argumentation to Improve Crowdsourcing Accuracy
- Ryan Drapeau, L. Chilton, Jonathan Bragg, Daniel S. Weld
- Computer Science
- HCOMP
- 21 September 2016
TLDR
Optimal Testing for Crowd Workers
- Jonathan Bragg, Mausam, Daniel S. Weld
- Computer Science
- AAMAS
- 9 May 2016
TLDR
Parallel Task Routing for Crowdsourcing
- Jonathan Bragg, A. Kolobov, Mausam, Daniel S. Weld
- Computer Science
- HCOMP
- 5 September 2014
TLDR
Artificial Intelligence and Collective Intelligence
- Daniel S. Weld, C. H. Lin, Jonathan Bragg
- Computer Science
- 2014
TLDR
- 14
- 1
- PDF
Subcontracting Microwork
- M. Morris, Jeffrey P. Bigham, +4 authors S. Savage
- Computer Science
- CHI
- 2 May 2017
TLDR
Learning on the Job: Optimal Instruction for Crowdsourcing
- Jonathan Bragg, Daniel S. Weld
- Engineering
- 2015
A large body of crowdsourcing research focuses on using techniques from artificial intelligence to improve estimates of latent answers to questions, assuming fixed (latent) worker quality. Recently,… Expand
- 7
- PDF
Cicero: Multi-Turn, Contextual Argumentation for Accurate Crowdsourcing
- Quanze Chen, Jonathan Bragg, L. Chilton, Daniel S. Weld
- Computer Science
- CHI
- 25 October 2018
TLDR
Sprout: Crowd-Powered Task Design for Crowdsourcing
- Jonathan Bragg, Mausam, Daniel S. Weld
- Computer Science
- UIST
- 11 October 2018
TLDR