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» Portable Natural Language Generation using SPOKESMAN
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JMLR
2012
13 years 7 months ago
SpeedBoost: Anytime Prediction with Uniform Near-Optimality
We present SpeedBoost, a natural extension of functional gradient descent, for learning anytime predictors, which automatically trade computation time for predictive accuracy by s...
Alexander Grubb, Drew Bagnell
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
14 years 3 days ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
SECON
2007
IEEE
15 years 10 months ago
High-Level Application Development is Realistic for Wireless Sensor Networks
—Programming Wireless Sensor Network (WSN) applications is known to be a difficult task. Part of the problem is that the resource limitations of typical WSN nodes force programm...
Marcin Karpinski, Vinny Cahill
132
Voted
LREC
2010
131views Education» more  LREC 2010»
15 years 6 months ago
MACAQ : A Multi Annotated Corpus to Study how we Adapt Answers to Various Questions
This paper presents a new corpus of human answers in natural language. The answers were collected in order to build a base of examples useful when generating natural language answ...
Anne Garcia-Fernandez, Sophie Rosset, Anne Vilnat
PLDI
2009
ACM
16 years 5 months ago
An integrated proof language for imperative programs
We present an integrated proof language for guiding the actions of multiple reasoning systems as they work together to prove complex correctness properties of imperative programs....
Karen Zee, Viktor Kuncak, Martin C. Rinard