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JCST
2008
138views more  JCST 2008»
13 years 7 months ago
Predicting Chinese Abbreviations from Definitions: An Empirical Learning Approach Using Support Vector Regression
In Chinese, phrases and named entities play a central role in information retrieval. Abbreviations, however, make keyword-based approaches less effective. This paper presents an em...
Xu Sun, Houfeng Wang, Bo Wang 0003
NAACL
1994
13 years 8 months ago
Predicting and Managing Spoken Disfluencies During Human-Computer Interaction
This research characterizes the spontaneous spoken disfluencies typical of human-computer interaction, and presents a predictive model accounting for their occurrence. Data were c...
Sharon L. Oviatt
ANOR
2010
75views more  ANOR 2010»
13 years 7 months ago
A new methodology for studying the equity premium
This paper provides a new framework for the derivation and estimation of consumption and the equity premium functions. The novelty in our approach is that it does not require the ...
Elie Appelbaum, Parantap Basu
UML
2005
Springer
14 years 26 days ago
Performance Analysis of UML Models Using Aspect-Oriented Modeling Techniques
Abstract. Aspect-Oriented Modeling (AOM) techniques allow software designers to isolate and address separately solutions for crosscutting concerns (such as security, reliability, n...
Hui Shen, Dorina C. Petriu
QEST
2009
IEEE
14 years 2 months ago
Language-Level Symmetry Reduction for Probabilistic Model Checking
—Symmetry reduction is a technique for combating state-space explosion in model checking. The generic representatives approach to symmetry reduction uses a language-level transla...
Alastair F. Donaldson, Alice Miller, David Parker