iracema 0.1

Iracema is a Named Entity Recognition and Classification (NERC) library that aims to provide algorithms and commonly used functionality for both implementing and evaluating NERC systems. It is implemented in Java.<br /><br />Iracema features:<br /><br /> * A Flexible architecture for implementing and evaluating NERC algorithms. By default it includes:<br /> o An SVM machine learning NERC algorithm<br /> o A rule based NERC implementation<br /> * Buit in metrics for evaluating NERC algorithms:<br /> o Precision<br /> o Recall<br /> o F Score<br /> * Functionality for splitting corpora in order to perform cross-validation of algorithms or to measure the learning curve of machine learning based algorithms.

Requirements:	No special requirements
Platforms:	Mac, Mac OSX
Keyword:	Aims,  Algorithms,  Architecture,  Based Algorithms,  Based Nerc,  Buit,  Classification,  Commonly,  Evaluating,  Functionality,  Implementing,  Learning Curve,  Measure,  Perform Crossvalidation,  Provide Algorithms,  Svm,  Svm Machine Learning
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