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AAAI
2012
6 years 9 months ago
Online Task Assignment in Crowdsourcing Markets
We explore the problem of assigning heterogeneous tasks to workers with different, unknown skill sets in crowdsourcing markets such as Amazon Mechanical Turk. We first formalize ...
Chien-Ju Ho, Jennifer Wortman Vaughan
AAAI
2012
6 years 9 months ago
Adaptive Polling for Information Aggregation
The flourishing of online labor markets such as Amazon Mechanical Turk (MTurk) makes it easy to recruit many workers for solving small tasks. We study whether information elicita...
Thomas Pfeiffer, Xi Alice Gao, Yiling Chen, Andrew...
AAAI
2012
6 years 9 months ago
Quality Expectation-Variance Tradeoffs in Crowdsourcing Contests
We examine designs for crowdsourcing contests, where participants compete for rewards given to superior solutions of a task. We theoretically analyze tradeoffs between the expecta...
Xi Alice Gao, Yoram Bachrach, Peter Key, Thore Gra...
KDD
2012
ACM
201views Data Mining» more  KDD 2012»
6 years 9 months ago
Learning from crowds in the presence of schools of thought
Crowdsourcing has recently become popular among machine learning researchers and social scientists as an effective way to collect large-scale experimental data from distributed w...
Yuandong Tian, Jun Zhu
CICLING
2012
Springer
7 years 3 months ago
Building Subjectivity Lexicon(s) from Scratch for Essay Data
While there are a number of subjectivity lexicons available for research purposes, none can be used commercially. We describe the process of constructing subjectivity lexicon(s) fo...
Beata Beigman Klebanov, Jill Burstein, Nitin Madna...
EMNLP
2011
7 years 7 months ago
Discriminating Gender on Twitter
Accurate prediction of demographic attributes from social media and other informal online content is valuable for marketing, personalization, and legal investigation. This paper d...
John D. Burger, John C. Henderson, George Kim, Gui...
CHI
2011
ACM
7 years 10 months ago
Security through a different kind of obscurity: evaluating distortion in graphical authentication schemes
While a large body of research on image-based authentication has focused on memorability, comparatively less attention has been paid to the new security challenges these schemes m...
Eiji Hayashi, Jason Hong, Nicolas Christin
CVPR
2011
IEEE
8 years 3 months ago
Learning Effective Human Pose Estimation from Inaccurate Annotation
The task of 2-D articulated human pose estimation in natural images is extremely challenging due to the high level of variation in human appearance. These variations arise from di...
Sam Johnson, Mark Everingham
ACL
2010
8 years 5 months ago
Bucking the Trend: Large-Scale Cost-Focused Active Learning for Statistical Machine Translation
We explore how to improve machine translation systems by adding more translation data in situations where we already have substantial resources. The main challenge is how to buck ...
Michael Bloodgood, Chris Callison-Burch
CVPR
2009
IEEE
8 years 11 months ago
ImageNet: A large-scale hierarchical image database
The explosion of image data on the Internet has the potential to foster more sophisticated and robust models and algorithms to index, retrieve, organize and interact with images a...
Jia Deng, Wei Dong, Richard Socher, Li-Jia Li, Kai...
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