MysterionRise / jate

JATE - Java Automatic Term Extraction toolkit is an open source library for domain specific term extraction from textual corpora. It is based on the Apache Solr framework, implements more than 10 state-of-the-art algorithms, and delivers a significant degree of customisation.

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JATE

JATE (Java Automatic Term Extraction) is an open source library for automatic domain specific term extraction from text corpora. It is implemented within the Apache Solr framework (currently Solr 5.3), currently supporting more than 10 ATE algorithms, and almost any kinds of term candidate patterns. The seamless integration with Solr gives JATE potential to be easily customised and adapted to different documents (including binary), domains, and languages.

For details of how to use JATE2, please follow the wiki on the JATE website.

General introduction of JATE is also available in JATE1.0 wiki.

To cite JATE: Zhang, Z., Gao, J., Ciravegna, F. 2016. JATE 2.0: Java Automatic Term Extraction with Apache Solr. In The Proceedings of the 10th Language Resources and Evaluation Conference, May 2016, Portorož, Slovenia

If you are after the old JATE 1.11 previously hosted on Google Code Project, you can download it from here. However the old version is no longer supported. To cite the old version, please use instead: Zhang, Z., Iria, J., Brewster, C., and Ciravegna, F. 2008. A Comparative Evaluation of Term Recognition Algorithms. In Proceedings of The 6th Language Resources and Evaluation Conference, May 2008, Marrakech, Morocco.

Support and Issues

JATE2 is at an early stage of development. Its mailling list is available on [Google Groups] (https://groups.google.com/d/forum/jate2). If you have any questions about using JATE, please read the Wiki and the mailling list first. Please do not use the issue tracker for personal support requests nor feature requests. Support requests and development issues should be discussed in the mailling list.

For bug report, please create an issue.

Pull requests

We always welcome contributions to help make JATE better. Bug fixes, improvements, and new features are welcomed. Before embarking on making significant changes, please open an issue and ask first so that you do not risk duplicating efforts or spending time working on something that may be out of scope.

1. Fork the project, clone your fork, and add the upstream to your remote:
$ git clone git@github.com:<your-username>/jate.git
$ cd jate
$ git remote add upstream https://github.com/ziqizhang/jate
2. If you need to pull new changes committed upstream:
$ git checkout master
$ git fetch upstream
$ git merge upstream/master
3. Create a feature branch for your fix or new feature:
$ git checkout -b <feature-branch-name>
4. Please try to commit your changes in logical chunks and reference the issue number in your commit messages:
$ git commit -m "Issue #<issue-number> - <commit-message>"
5. Push your feature branch to your fork.
$ git push origin <feature-branch-name>
6. Open a Pull Request against the upstream master branch. Please give your pull request a clear title and description and note which issue(s) your pull request fixes.

Important: By submitting a patch, you agree to allow the project owners to license your work under the LGPLv3 license.

Contact

For anything else, you can also find how to contact the team at:

Changes Overview

  • JATE2.0 Alpha version - 04 April 2016

  • JATE2.0 Beta version - 20 May 2016

About

JATE - Java Automatic Term Extraction toolkit is an open source library for domain specific term extraction from textual corpora. It is based on the Apache Solr framework, implements more than 10 state-of-the-art algorithms, and delivers a significant degree of customisation.

License:GNU Lesser General Public License v3.0


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