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IJCNLP
2005
Springer
14 years 27 days ago
Regularisation Techniques for Conditional Random Fields: Parameterised Versus Parameter-Free
Recent work on Conditional Random Fields (CRFs) has demonstrated the need for regularisation when applying these models to real-world NLP data sets. Conventional approaches to regu...
Andrew Smith, Miles Osborne
EMNLP
2010
13 years 5 months ago
Training Continuous Space Language Models: Some Practical Issues
Using multi-layer neural networks to estimate the probabilities of word sequences is a promising research area in statistical language modeling, with applications in speech recogn...
Hai Son Le, Alexandre Allauzen, Guillaume Wisniews...
CONSTRAINTS
2008
109views more  CONSTRAINTS 2008»
13 years 7 months ago
The Design of the Zinc Modelling Language
Zinc is a new modelling language developed as part of the G12 project. It has four important characteristics. First, Zinc allows speci cation of models using a natural mathematical...
Kim Marriott, Nicholas Nethercote, Reza Rafeh, Pet...
IJCNLP
2005
Springer
14 years 27 days ago
An Empirical Study on Language Model Adaptation Using a Metric of Domain Similarity
Abstract. This paper presents an empirical study on four techniques of language model adaptation, including a maximum a posteriori (MAP) method and three discriminative training mo...
Wei Yuan, Jianfeng Gao, Hisami Suzuki
MODELS
2009
Springer
14 years 1 months ago
A Modeling Language for Activity-Oriented Composition of Service-Oriented Software Systems
The proliferation of smart spaces and emergence of new standards, such as Web Services, have paved the way for a new breed of software systems. Often the complete functional and Qo...
Naeem Esfahani, Sam Malek, João Pedro Sousa...