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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… 
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Papers overview

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2011
2011
We tackled the task of SuperSense tagging by means of the Tanl Tagger, a generic, flexible and customizable sequence labeler… 
2007
2007
We present the mixture-of-parents maximum entropy Markov model (MoP-MEMM), a class of directed graphical models extending MEMMs… 
2006
2006
This paper presents a new Chinese chunking method based on maximum entropy Markov models. We firstly present two types of Chinese… 
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… 
Highly Cited
2005
Highly Cited
2005
We describe a new sequential learning scheme called "stacked sequential learning". Stacked sequential learning is a meta-learning… 
2005
2005
This paper presents a new chunking method based on maximum entropy Markov models (MEMM). MEMM is described in detail that… 
Highly Cited
2005
Highly Cited
2005
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… 
Highly Cited
2004
Highly Cited
2004
2004
2004
This paper investigates the application of Maximum Entropy Markov Models to semantic role labelling. Syntactic chunks are…