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» Input Modeling Using Quantile Statistical Methods
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ACL
2012
13 years 4 months ago
Concept-to-text Generation via Discriminative Reranking
This paper proposes a data-driven method for concept-to-text generation, the task of automatically producing textual output from non-linguistic input. A key insight in our approac...
Ioannis Konstas, Mirella Lapata
EMNLP
2010
15 years 11 days ago
A Fast Fertility Hidden Markov Model for Word Alignment Using MCMC
A word in one language can be translated to zero, one, or several words in other languages. Using word fertility features has been shown to be useful in building word alignment mo...
Shaojun Zhao, Daniel Gildea
SIGIR
2006
ACM
15 years 8 months ago
Improving the estimation of relevance models using large external corpora
Information retrieval algorithms leverage various collection statistics to improve performance. Because these statistics are often computed on a relatively small evaluation corpus...
Fernando Diaz, Donald Metzler
CEAS
2008
Springer
15 years 4 months ago
Improved Phishing Detection using Model-Based Features
Phishing emails are a real threat to internet communication and web economy. Criminals are trying to convince unsuspecting online users to reveal passwords, account numbers, socia...
André Bergholz, Jeong Ho Chang, Gerhard Paa...
BMCBI
2005
88views more  BMCBI 2005»
15 years 2 months ago
Using large-scale perturbations in gene network reconstruction
Background: Recent analysis of the yeast gene network shows that most genes have few inputs, indicating that enumerative gene reconstruction methods are both useful and computatio...
Thomas MacCarthy, Andrew Pomiankowski, Robert Seym...