An Introduction to Conditional Random Fields
نویسندگان
چکیده
منابع مشابه
Conditional Random Fields: An Introduction
The task of assigning label sequences to a set of observation sequences arises in many fields, including bioinformatics, computational linguistics and speech recognition [6, 9, 12]. For example, consider the natural language processing task of labeling the words in a sentence with their corresponding part-of-speech (POS) tags. In this task, each word is labeled with a tag indicating its appropr...
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Many tasks involve predicting a large number of variables that depend on each other as well as on other observed variables. Structured prediction methods are essentially a combination of classification and graphical modeling. They combine the ability of graphical models to compactly model multivariate data with the ability of classification methods to perform prediction using large sets of inpu...
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1.1 Introduction Relational data has two characteristics: first, statistical dependencies exist between the entities we wish to model, and second, each entity often has a rich set of features that can aid classification. For example, when classifying Web documents, the page's text provides much information about the class label, but hyperlinks define a relationship between pages that can improv...
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Now, we would like to know what happens when y itself is a sequence? (i.e want P (y|x)). Traditionally, graphical models were used to represent the joint probability P (y, x). This however, can lead to difficulties. In the presence of rich local features in the relational data the distribution P (x) needs to be modelled, which can include complex dependencies. A solution to this is to directly ...
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Markov chains provided us with a way to model 1D objects such as contours probabilistically, in a way that led to nice, tractable computations. We now consider 2D Markov models. These are more powerful, but not as easy to compute with. In addition we will consider two additional issues. First, we will consider adding observations to our models. These observations are conditioned on the value of...
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ژورنال
عنوان ژورنال: Foundations and Trends® in Machine Learning
سال: 2012
ISSN: 1935-8237,1935-8245
DOI: 10.1561/2200000013