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20032018
most citedCombining Independent Modules to Solve Multiple-choice Synonym and Analogy Problems

136 citations · 222 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC201865 cited

Evorus: A Crowd-powered Conversational Assistant Built to Automate Itself Over Time

Ting-Hao 'Kenneth' Huang, Joseph Chee Chang, Jeffrey P. Bigham

Crowd-powered conversational assistants have been shown to be more robust than automated systems, but do so at the cost of higher response latency and monetary costs. A promising d…

cs.CY20173 cited

A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk

Kotaro Hara, Abi Adams, Kristy Milland +3

A growing number of people are working as part of on-line crowd work, which has been characterized by its low wages; yet, we know little about wage distribution and causes of low/h…

cs.HC201718 cited

"Is there anything else I can help you with?": Challenges in Deploying an On-Demand Crowd-Powered Conversational Agent

Ting-Hao Kenneth Huang, Walter S. Lasecki, Amos Azaria +1

Intelligent conversational assistants, such as Apple's Siri, Microsoft's Cortana, and Amazon's Echo, have quickly become a part of our digital life. However, these assistants have…

cs.LG2005

Combining Independent Modules in Lexical Multiple-Choice Problems

Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1

Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be best…

cs.CL2003136 cited

Combining Independent Modules to Solve Multiple-choice Synonym and Analogy Problems

Peter D. Turney, Michael L. Littman, Jeffrey Bigham +1

Existing statistical approaches to natural language problems are very coarse approximations to the true complexity of language processing. As such, no single technique will be best…