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» Learning a language model from continuous speech
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ACL
2010
14 years 8 months ago
Phylogenetic Grammar Induction
We present an approach to multilingual grammar induction that exploits a phylogeny-structured model of parameter drift. Our method does not require any translated texts or token-l...
Taylor Berg-Kirkpatrick, Dan Klein
ANLP
2000
97views more  ANLP 2000»
14 years 11 months ago
Trainable Methods for Surface Natural Language Generation
We present three systems for surface natural language generation that are trainable from annotated corpora. The first two systems, called NLG1 and NLG2, require a corpus marked on...
Adwait Ratnaparkhi
ANOR
2011
175views more  ANOR 2011»
14 years 5 months ago
Integrated exact, hybrid and metaheuristic learning methods for confidentiality protection
A vital task facing government agencies and commercial organizations that report data is to represent the data in a meaningful way and simultaneously to protect the confidentialit...
Fred Glover, Lawrence H. Cox, Rahul Patil, James P...
NIPS
2000
14 years 11 months ago
Using Free Energies to Represent Q-values in a Multiagent Reinforcement Learning Task
The problem of reinforcement learning in large factored Markov decision processes is explored. The Q-value of a state-action pair is approximated by the free energy of a product o...
Brian Sallans, Geoffrey E. Hinton
ACTAC
2006
126views more  ACTAC 2006»
14 years 10 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...