Turku Event Extraction System (TEES) is a free and open source natural language processing system developed for the extraction of events and relations from biomedical text. It is written mostly in Python, and should work in generic Unix/Linux environments.

Currently, the TEES source code repository still remains on GitHub at http://jbjorne.github.com/TEES/ where there is also a wiki with more information.

Project Activity

See All Activity >

Categories

Bio-Informatics, Linguistics, Machine Learning, Natural Language Processing (NLP)

License

GNU General Public License version 3.0 (GPLv3)

Follow TEES

TEES Web Site

Other Useful Business Software
Fully Managed MySQL, PostgreSQL, and SQL Server Icon
Fully Managed MySQL, PostgreSQL, and SQL Server

Automatic backups, patching, replication, and failover. Focus on your app, not your database.

Cloud SQL handles your database ops end to end, so you can focus on your app.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of TEES!

Additional Project Details

Operating Systems

BSD, Linux

Intended Audience

Science/Research

User Interface

Command-line

Programming Language

Python

Related Categories

Python Bio-Informatics Software, Python Linguistics Software, Python Machine Learning Software, Python Natural Language Processing (NLP) Tool

Registered

2013-02-11
Report inappropriate content