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» A Neural Probabilistic Language Model
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ICDAR
2009
IEEE
15 years 4 months ago
Robust Recognition of Documents by Fusing Results of Word Clusters
The word error rate of any optical character recognition system (OCR) is usually substantially below its component or character error rate. This is especially true of Indic langua...
Venkat Rasagna, Anand Kumar 0002, C. V. Jawahar, R...
JUCS
2010
213views more  JUCS 2010»
14 years 8 months ago
Mining Feature-Opinion in Online Customer Reviews for Opinion Summarization
: Online customer reviews is considered as a significant informative resource which is useful for both potential customers and product manufacturers. In web pages, the reviews are ...
Gamgarn Somprasertsri, Pattarachai Lalitrojwong
ACL
2012
13 years 1 days ago
Learning to "Read Between the Lines" using Bayesian Logic Programs
Most information extraction (IE) systems identify facts that are explicitly stated in text. However, in natural language, some facts are implicit, and identifying them requires â€...
Sindhu Raghavan, Raymond J. Mooney, Hyeonseo Ku
EMNLP
2006
14 years 11 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
CONCUR
2009
Springer
15 years 4 months ago
Weighted Bisimulation in Linear Algebraic Form
Abstract. We study bisimulation and minimization for weighted automata, relying on a geometrical representation of the model, linear weighted automata (lwa). In a lwa, the state-sp...
Michele Boreale