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ACL
2001
15 years 8 months ago
Multi-Class Composite N-gram Language Model for Spoken Language Processing Using Multiple Word Clusters
In this paper, a new language model, the Multi-Class Composite N-gram, is proposed to avoid a data sparseness problem for spoken language in that it is difficult to collect traini...
Hirofumi Yamamoto, Shuntaro Isogai, Yoshinori Sagi...
ICMLA
2004
15 years 8 months ago
Reducing complexity of rule based models via meta mining
Complexity, or in other words compactness, of models generated by rule learners is one of often neglected issues, although it has a profound effect on the success of any project t...
Lukasz A. Kurgan
AAAI
1998
15 years 8 months ago
Structured Representation of Complex Stochastic Systems
This paperconsidersthe problem of representingcomplex systems that evolve stochastically over time. Dynamic Bayesian networks provide a compact representation for stochastic proce...
Nir Friedman, Daphne Koller, Avi Pfeffer
ACL
1996
15 years 8 months ago
Generating an LTAG out of a Principle-based Hierarchical Representation
Lexicalized Tree Adjoining Grammars have proved useful for NLP. However, numerous redundancy problems face LTAGs developers, as highlighted by Vijay-Shanker and Schabes (92). We p...
Marie-Hélène Candito
IJCAI
1989
15 years 7 months ago
A Knowledge-Based Software Information System
The difficulty of maintaining very large software systems is becoming more widely acknowledged. One of the primary problems is the need to access information about a complex and e...
Premkumar T. Devanbu, Peter G. Selfridge, Bruce W....