GateNLP/gateplugin-LearningFramework
A plugin for the GATE language technology framework for training and using machine learning models. Currently supports Mallet (MaxEnt, NaiveBayes, CRF and others), LibSVM, Scikit-Learn, Weka, and DNNs through Pytorch and Keras.
This tool helps language technology practitioners train and apply machine learning models within the GATE framework. It takes annotated text documents as input and produces trained models or new annotations based on those models. Anyone working with text analysis, natural language processing, or information extraction can use this.
No commits in the last 6 months.
Use this if you need to build and integrate machine learning models for tasks like classification or sequence labeling directly within your GATE text processing workflows.
Not ideal if you need a standalone machine learning platform or are not already using the GATE framework for your language processing tasks.
Stars
28
Forks
6
Language
Java
License
LGPL-2.1
Category
Last pushed
Apr 17, 2023
Commits (30d)
0
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