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- Jonathan Bragg, Mausam, Daniel S. Weld
- HCOMP
- 2013
Recent work has introduced CASCADE, an algorithm for creating a globally-consistent taxonomy by crowdsourcing microwork from many individuals, each of whom may see only a tiny fraction of the data (Chilton et al. 2013). While CASCADE needs only unskilled labor and produces taxonomies whose quality approaches that of human experts, it uses significantly more… (More)
- Jonathan Bragg, Andrei Rajkovic, +7 authors Mitchell Singer
- Journal of bacteriology
- 2012
Arginine kinases catalyze the reversible transfer of a high-energy phosphoryl group from ATP to l-arginine to form phosphoarginine, which is used as an energy buffer in insects, crustaceans, and some unicellular organisms. It plays an analogous role to that of phosphocreatine in vertebrates. Recently, putative arginine kinases were identified in several… (More)
- Jonathan Bragg, Andrey Kolobov, Mausam, Daniel S. Weld
- HCOMP
- 2014
An ideal crowdsourcing or citizen-science system would route tasks to the most appropriate workers, but the best assignment is unclear because workers have varying skill, tasks have varying difficulty, and assigning several workers to a single task may significantly improve output quality. This paper defines a space of task routing problems, proves that… (More)
- Angli Liu, Stephen Soderland, Jonathan Bragg, Christopher H. Lin, Xiao Ling, Daniel S. Weld
- HLT-NAACL
- 2016
Can crowdsourced annotation of training data boost performance for relation extraction over methods based solely on distant supervision? While crowdsourcing has been shown effective for many NLP tasks, previous researchers found only minimal improvement when applying the method to relation extraction. This paper demonstrates that a much larger boost is… (More)
Crowd workers are human and thus sometimes make mistakes. In order to ensure the highest quality output, requesters often issue redundant jobs with gold test questions and sophisticated aggregation mechanisms based on expectation maximization (EM). While these methods yield accurate results in many cases, they fail on extremely difficult problems with local… (More)
The vision of artificial intelligence (AI) is often manifested through an autonomous software module (agent) in a complex and uncertain environment. The agent is capable of thinking ahead and acting for long periods of time in accordance with its goals/objectives. It is also capable of learning and refining its understanding of the world. The agent may… (More)
- Jonathan Bragg, Mausam, Daniel S. Weld
- AAMAS
- 2016
Requesters on crowdsourcing platforms, such as Amazon Mechanical Turk, routinely insert gold questions to verify that a worker is diligent and is providing high-quality answers. However, there is no clear understanding of when and how many gold questions to insert. Typically, requesters mix a flat 10–30% of gold questions into the task stream of every… (More)
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, researchers have begun to investigate how best to actively improve worker quality through instruction (Basu & Christensen, 2013; Singla et al., 2014). However,… (More)
- Meredith Ringel Morris, Jeffrey P. Bigham, +4 authors Saiph Savage
- 2017
Mainstream crowdwork platforms treat microtasks as indivisible units; however, in this article, we propose that there is value in re-examining this assumption. We argue that crowdwork platforms can improve their value proposition for all stakeholders by supporting subcontracting within microtasks. After describing the value proposition of subcontracting, we… (More)
- Jonathan Bragg, Elaine Chew, Stuart M. Shieber
- ISMIR
- 2011
This paper proposes a finite-state model for detecting harmonic cycles as described by neo-Riemannian theorists. Given a string of triads representing a harmonic analysis of a piece, the task is to identify and label all substrings corresponding to these cycles with high accuracy. The solution method uses a noisy channel model implemented with weighted… (More)