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ICASSP
2011
IEEE
13 years 22 days ago
Distributed training of large scale exponential language models
Shrinkage-based exponential language models, such as the recently introduced Model M, have provided significant gains over a range of tasks [1]. Training such models requires a l...
Abhinav Sethy, Stanley F. Chen, Bhuvana Ramabhadra...
SIGIR
2012
ACM
11 years 11 months ago
Language intent models for inferring user browsing behavior
Modeling user browsing behavior is an active research area with tangible real-world applications, e.g., organizations can adapt their online presence to their visitors browsing be...
Manos Tsagkias, Roi Blanco
CEAS
2006
Springer
14 years 22 days ago
An Adaptive, Semi-Structured Language Model Approach to Spam Filtering on a New Corpus
Motivated by current efforts to construct more realistic spam filtering experimental corpora, we present a newly assembled, publicly available corpus of genuine and unsolicited (s...
Ben Medlock
EMNLP
2008
13 years 10 months ago
N-gram Weighting: Reducing Training Data Mismatch in Cross-Domain Language Model Estimation
In domains with insufficient matched training data, language models are often constructed by interpolating component models trained from partially matched corpora. Since the ngram...
Bo-June Paul Hsu, James R. Glass
AEI
2007
52views more  AEI 2007»
13 years 9 months ago
A language for functional interpretation of model based simulation
Functional modeling is in use for the interpretation of the results of model based simulation of engineered systems for design analysis, enabling the automatic generation of a tex...
Jonathan Bell, Neal Snooke, Chris Price