Download JAR files tagged by identifying with all dependencies

Information extraction is the process of identifying specified classes of entities, relations, and events in natural language text – creating structured data from unstructured input. JET, the Java Extraction Toolkit, developed at New York University over the past fifteen years, provides a rich set of tools for research and education in information extraction from English text. These include standard language processing tools such as a tokenizer, sentence segmenter, part-of-speech tagger, name tagger, regular-expression pattern matcher, and dependency parser. Also provided are relation and event extractors based on the specifications of the U.S. Government's ACE [Automatic Content Extraction] program. The program is provided under an Apache 2.0 license.

A filter that applies the LOF (Local Outlier Factor) algorithm to compute an outlier score for each instance in the data. Can use multiple cores/cpus to speed up the LOF computation for large datasets. Nearest neighbor search methods and distance functions are pluggable. For more information, see: Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, Jorg Sander (2000). LOF: Identifying Density-Based Local Outliers. ACM SIGMOD Record. 29(2):93-104.

The Liberty Audit feature is used to report and track auditable events to ensure the integrity of your system. The Liberty Audit feature introduces an infrastructure which serves two purposes: - Confirming the effectiveness and integrity of the existing configuration - Identifying areas where improvement to the configuration may be needed The Liberty Audit feature has the ability to capture the following auditable events: - Basic authentication - Start and stop of the Audit service - Form login - Client certificate login - Servlet runAs delegation - Form logout - Servlet 3.0 login, logout and authenticate APIs The Liberty Audit feature supports the Cloud Auditing Data Federation (CADF) event model. The CADF model describes a data model and associated schema definitions for an audit event. The feature provides a default implementation, the AuditFileHandler, which emits human-readable audit records to a file-based log. Each audit record is emitted in JSON format.