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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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2008
2008
In this paper we describe a hybrid system that applies Maximum Entropy model (MaxEnt), language specific rules and gazetteers to… Expand
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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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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
  • H. Kuo, Yuqing Gao
  • IEEE Transactions on Audio, Speech, and Language…
  • 2006
  • Corpus ID: 1396674
Traditional statistical models for speech recognition have mostly been based on a Bayesian framework using generative models such… Expand
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Highly Cited
2005
Highly Cited
2005
We describe a new sequential learning scheme called "stacked sequential learning". Stacked sequential learning is a meta-learning… 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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Highly Cited
2004
Highly Cited
2004
We describe here the JNLPBA shared task of bio-entity recognition using an extended version of the GENIA version 3 named entity… 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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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