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» A Hybrid Approach to Adaptive Statistical Language Modeling
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NAACL
2004
13 years 9 months ago
A Language Modeling Approach to Predicting Reading Difficulty
We demonstrate a new research approach to the problem of predicting the reading difficulty of a text passage, by recasting readability in terms of statistical language modeling. W...
Kevyn Collins-Thompson, James P. Callan
ACL
2007
13 years 9 months ago
A Comparative Study of Parameter Estimation Methods for Statistical Natural Language Processing
This paper presents a comparative study of five parameter estimation algorithms on four NLP tasks. Three of the five algorithms are well-known in the computational linguistics com...
Jianfeng Gao, Galen Andrew, Mark Johnson, Kristina...
TNN
2008
177views more  TNN 2008»
13 years 7 months ago
Adaptive Importance Sampling to Accelerate Training of a Neural Probabilistic Language Model
Previous work on statistical language modeling has shown that it is possible to train a feed-forward neural network to approximate probabilities over sequences of words, resulting...
Yoshua Bengio, Jean-Sébastien Senecal
ICC
2007
IEEE
120views Communications» more  ICC 2007»
14 years 2 months ago
An Event-Detection Estimation Model for Hybrid Adaptive Routing in WSNs
— A fundamental goal of a wireless sensor network (WSN) is to collect and deliver data to external applications. Due to the strong constraints of these networks, routing algorith...
Carlos Mauricio S. Figueiredo, Eduardo Freire Naka...
SGP
2007
13 years 10 months ago
Robust statistical estimation of curvature on discretized surfaces
A robust statistics approach to curvature estimation on discretely sampled surfaces, namely polygon meshes and point clouds, is presented. The method exhibits accuracy, stability ...
Evangelos Kalogerakis, Patricio D. Simari, Derek N...