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» Learning with structured sparsity
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159
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EMNLP
2011
14 years 2 months ago
Watermarking the Outputs of Structured Prediction with an application in Statistical Machine Translation
We propose a general method to watermark and probabilistically identify the structured outputs of machine learning algorithms. Our method is robust to local editing operations and...
Ashish Venugopal, Jakob Uszkoreit, David Talbot, F...
136
Voted
SIGIR
2009
ACM
15 years 9 months ago
Extracting structured information from user queries with semi-supervised conditional random fields
When search is against structured documents, it is beneficial to extract information from user queries in a format that is consistent with the backend data structure. As one step...
Xiao Li, Ye-Yi Wang, Alex Acero
115
Voted
INLG
2010
Springer
15 years 15 days ago
Named Entity Generation Using Sampling-based Structured Prediction
The problem of Named Entity Generation is expressed as a conditional probability model over a structured domain. By defining a factor-graph model over the mentions of a text, we o...
Guillaume Bouchard
142
Voted
IROS
2009
IEEE
145views Robotics» more  IROS 2009»
15 years 9 months ago
Utilizing prior information to enhance self-supervised aerial image analysis for extracting parking lot structures
Abstract— Road network information (RNI) simplifies autonomous driving by providing strong priors about driving environments. Its usefulness has been demonstrated in the DARPA U...
Young-Woo Seo, Chris Urmson
121
Voted
ICALT
2003
IEEE
15 years 7 months ago
Cohesion and Roles: Network Analysis of CSCL Communities
We provide empirical support for the assertions that high level of knowledge construction is associated with structured design and that knowledge construction is associated with c...
Reuven Aviv, Zippy Erlich, Gilad Ravid