Found 145 results
: Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data.
: Text Classification from Labeled and Unlabeled Documents using EM.
: Maximum Entropy Markov Models for Information Extraction and Segmentation.
: Learning to Extract Symbolic Knowledge from the World Wide Web.
: Improving Text Classification by Shrinkage in a Hierarchy of Classes.
: Efficient clustering of high-dimensional data sets with application to reference matching.
: Employing EM and Pool-Based Active Learning for Text Classification.
: Distributional Clustering of Words for Text Classification.
: Learning to construct knowledge bases from the World Wide Web.
: Toward Optimal Active Learning through Sampling Estimation of Error Reduction.
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