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» Applying Maximum Entropy to Known-Item Email Retrieval
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ECIR
2008
Springer
13 years 5 months ago
Applying Maximum Entropy to Known-Item Email Retrieval
It is becoming increasingly common in information retrieval to combine evidence from multiple resources to compute the retrieval status value of documents. Although this has led to...
Sirvan Yahyaei, Christof Monz
KDD
2005
ACM
161views Data Mining» more  KDD 2005»
14 years 4 months ago
Combining email models for false positive reduction
Machine learning and data mining can be effectively used to model, classify and discover interesting information for a wide variety of data including email. The Email Mining Toolk...
Shlomo Hershkop, Salvatore J. Stolfo
COLING
2010
12 years 11 months ago
Unsupervised Discriminative Language Model Training for Machine Translation using Simulated Confusion Sets
An unsupervised discriminative training procedure is proposed for estimating a language model (LM) for machine translation (MT). An English-to-English synchronous context-free gra...
Zhifei Li, Ziyuan Wang, Sanjeev Khudanpur, Jason E...