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Maximum-entropy Markov model

Known as: Conditional Markov model, MEMM, Maximum entropy Markov model 
In machine learning, a maximum-entropy Markov model (MEMM), or conditional Markov model (CMM), is a graphical model for sequence labeling that… Expand
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Papers overview

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2007
2007
We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM), a class of directed graphical models extending MEMMs… Expand
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2007
2007
Sequence labeling is a core task in natural language processing. The maximum entropy Markov model (MEMM) is a powerful tool in… Expand
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2006
2006
This paper presents a new Chinese chunking method based on maximum entropy Markov models. We firstly present two types of Chinese… Expand
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Highly Cited
2006
Highly Cited
2006
Traditional statistical models for speech recognition have mostly been based on a Bayesian framework using generative models such… Expand
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2005
2005
This paper presents a new chunking method based on maximum entropy Markov models (MEMM). MEMM is described in detail that… Expand
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Highly Cited
2004
Highly Cited
2004
Abstract A novel technique for maximum “a posteriori” (MAP) adaptation of maximum entropy (MaxEnt) and maximum entropy Markov… Expand
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2004
2004
This paper investigates the application of Maximum Entropy Markov Models to semantic role labelling. Syntactic chunks are… Expand
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2004
2004
The [GLP & MEMM] pricing model (= [Geometric Lévy Process & Minimal Entropy Martingale Measure] pricing model) has been… Expand
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Highly Cited
2003
Highly Cited
2003
Abstract. The minimal entropy martingale measures (MEMMs) for geometric Lévy processes are investigated. It is shown that, under… Expand
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2003
2003
Traditional statistical models for speech recognition have all been based on a Bayesian framework using generative models such as… Expand
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