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.
JET, the Java Extraction Toolkit, provides a set of tools for constructing information extraction systems: systems for building, from English text, databses which capture specified classes of entities, semantic relations, and events. The tools include sentence and word segmentation, lexicon look-up, name recognition and classification, part-of-speech tagging, chunking, dependency parsing, transformational regularization, within-document coreference resolution. Additional tools are provided to extract entities, relations, and events conforming to the ACE 2005 specification.
All code is distributed under an Apache 2.0 license.
Download and unpack the latest binary release to directory D. (The directory names in path D should not have any blanks.) Set environment variable JET_HOME to D and put the directory of executable scripts on PATH
setenv JET_HOME D
set path = ( D/bin $path )
JET_HOME=D
export JET_HOME
PATH=D/bin:$PATH
export PATH
set JET_HOME=D
set PATH=D\win;%PATH%
FAQs
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.
We found that edu.nyu:jet demonstrated a not healthy version release cadence and project activity because the last version was released a year ago. It has 0 open source maintainers collaborating on the project.
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