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ACL
2009
14 years 10 months ago
Application-driven Statistical Paraphrase Generation
Paraphrase generation (PG) is important in plenty of NLP applications. However, the research of PG is far from enough. In this paper, we propose a novel method for statistical par...
Shiqi Zhao, Xiang Lan, Ting Liu, Sheng Li
SCP
2000
119views more  SCP 2000»
15 years 12 days ago
Automated compositional Markov chain generation for a plain-old telephone system
Obtaining performance models, like Markov chains and queueing networks, for systems of significant complexity and magnitude is a difficult task that is usually tackled using human...
Holger Hermanns, Joost-Pieter Katoen
AIED
2007
Springer
15 years 6 months ago
Investigating Generative Factors of Score Matrices
An implicit assumption in psychometrics and educational statistics is that the generative model for student scores on test questions is governed by the topics of those questions an...
Titus Winters, Christian R. Shelton, Tom Payne
88
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TSP
2010
14 years 7 months ago
A complex generalized Gaussian distribution: characterization, generation, and estimation
The generalized Gaussian distribution (GGD) provides a flexible and suitable tool for data modeling and simulation, however the characterization of the complex-valued GGD, in parti...
Mike Novey, Tülay Adali, Anindya Roy
103
Voted
CIKM
1997
Springer
15 years 4 months ago
Learning Belief Networks from Data: An Information Theory Based Approach
This paper presents an efficient algorithm for learning Bayesian belief networks from databases. The algorithm takes a database as input and constructs the belief network structur...
Jie Cheng, David A. Bell, Weiru Liu