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Publications (39)

1Markov Chains for Robust GraphBased Commonsense Information Extractionice cream being cold. This paper proposes a graphbased Markov chain approach to extract commonsense knowledge from Webscale...

2Efficient Discrimination Between Closely Related Languages2012  Jörg Tiedemann,Nikola Ljubešićidentification methods showing that a characterbased Markov chain is the least erroneous one having an error rate of roughly...

3Metaphor Interpretation and Contextbased Affect Detection2010  LiLi Changcontextual analysis and cognitive emotional modeling based on Markov chain modeling and a dynamic algorithm to interpret affect ...

4An Evaluation To Detect And Correct Erroneous Characters Wrongly Substituted, Deleted And Inserted In Japanese And English Sentences Using Markov Modelserrors, this paper proposes new methods using rnth order Markov chain model for Japanese "l~anjikana" characters and Fmglish...

5Tracking the Dynamic Evolution of Participants Salience in a Discussion2008  Ahmed Hassan,Anthony Fader,Michael H. Crespin,Kevin M. Quinn,Burt L. Monroe,Michael Colaresi,Dragomir R. Radevstochastic matrix that acts as transition matrix of a Markov chain. An element X(i, j) of a stochastic matrix specifies the...

6An Integrated Probabilistic and Logic Approach to Encyclopedia Relation Extraction with Multiple Features2008  Xiaofeng Yu,Wai Lamthis modeling. We apply Gibbs sampling, a widely used Markov chain Monte Carlo (MCMC) algorithm, to perform collective inference...

7LongTail Distributions and Unsupervised Learning of Morphology2012  Qiuye Zhao,Mitch Marcus2006). We are going to use Gibbs sampling, a standard Markov Chain Monte Carlo (MCMC) method for the inference of generative...

8Science Of The Stroke Sequence Of Kanji1980  Takeshi SHIMOMURAcontent per stroke by the transit ion probabil ity in Markov chain, is found to be only about 10% less than that by frequency...

9Citation Author Topic Model in Expert Search(Blei et al., 2003). Gibbs sampling is a special case of MarkovChain Monte Carlo (MCMC) sampling and often yields relatively...

10Modeling Chinese Documents with Topical WordCharacter Modelsindicators, i.e., how to determine the length of the Markov chain. There are two ways to set the values of the indicators...