Jonathan Bragg
Jonathan Bragg
Allen Institute for AI (AI2)
Verified email at - Homepage
Cited by
Cited by
Crowdsourcing Multi-Label Classification for Taxonomy Creation
J Bragg, Mausam, DS Weld
First AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2013), 2013
Microtalk: Using argumentation to improve crowdsourcing accuracy
R Drapeau, L Chilton, J Bragg, D Weld
Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 4 (1), 2016
Effective crowd annotation for relation extraction
A Liu, S Soderland, J Bragg, CH Lin, X Ling, DS Weld
Proceedings of the 2016 conference of the North American chapter of the …, 2016
Optimal Testing for Crowd Workers
J Bragg, Mausam, DS Weld
AAMAS, 2016
Parallel Task Routing for Crowdsourcing
J Bragg, A Kolobov, Mausam, DS Weld
Artificial Intelligence and Collective Intelligence
DS Weld, Mausam, CH Lin, J Bragg
The Collective Intelligence Handbook, 2014
Genie: A leaderboard for human-in-the-loop evaluation of text generation
D Khashabi, G Stanovsky, J Bragg, N Lourie, J Kasai, Y Choi, NA Smith, ...
arXiv preprint arXiv:2101.06561, 2021
Cicero: Multi-turn, contextual argumentation for accurate crowdsourcing
Q Chen, J Bragg, LB Chilton, DS Weld
Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems …, 2019
Subcontracting microwork
MR Morris, JP Bigham, R Brewer, J Bragg, A Kulkarni, J Li, S Savage
Proceedings of the 2017 CHI conference on human factors in computing systems …, 2017
Flex: Unifying evaluation for few-shot nlp
J Bragg, A Cohan, K Lo, I Beltagy
Advances in Neural Information Processing Systems 34, 2021
Sprout: Crowd-Powered Task Design for Crowdsourcing
J Bragg, Mausam, DS Weld
ACM Symposium on User Interface Software and Technology (UIST'18), 2018
Worker-owned cooperative models for training artificial intelligence
A Sriraman, J Bragg, A Kulkarni
Companion of the 2017 ACM Conference on computer supported cooperative work …, 2017
Fake it till you make it: Learning-compatible performance support
J Bragg, E Brunskill
Uncertainty in artificial intelligence, 915-924, 2020
Neo-Riemannian cycle detection with weighted finite-state transducers
J Bragg, E Chew, S Shieber
12th International Society for Music Information Retrieval Conference (ISMIR …, 2011
Learning on the Job: Optimal Instruction for Crowdsourcing
J Bragg, Mausam, DS Weld
Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users
LL Wang, I Cachola, J Bragg, EYY Cheng, C Haupt, M Latzke, B Kuehl, ...
arXiv preprint arXiv:2105.00076, 2021
Toward Automatic Bootstrapping of Online Communities Using Decision-theoretic Optimization
SW Huang, J Bragg, I Cowhey, O Etzioni, DS Weld
Proceedings of the 19th ACM Conference on Computer-Supported Cooperative …, 2016
SciA11y: Converting Scientific Papers to Accessible HTML
LL Wang, I Cachola, J Bragg, EYY Cheng, C Haupt, M Latzke, B Kuehl, ...
The 23rd International ACM SIGACCESS Conference on Computers and …, 2021
Mathematics and Computation in Music 2009: John Clough Memorial Conference
J Bragg, CZA Huang
Computer Music Journal 34 (1), 100-102, 2010
Scim: Intelligent Faceted Highlights for Interactive, Multi-Pass Skimming of Scientific Papers
R Fok, A Head, J Bragg, K Lo, MA Hearst, DS Weld
arXiv preprint arXiv:2205.04561, 2022
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