Revision: 19688 http://sourceforge.net/p/gate/code/19688 Author: ggorrell Date: 2016-10-17 13:49:12 +0000 (Mon, 17 Oct 2016) Log Message: ----------- Beginning the ML section with a link to the Learning Framework.
Modified Paths: -------------- userguide/trunk/machine-learning.tex Modified: userguide/trunk/machine-learning.tex =================================================================== --- userguide/trunk/machine-learning.tex 2016-10-17 09:48:28 UTC (rev 19687) +++ userguide/trunk/machine-learning.tex 2016-10-17 13:49:12 UTC (rev 19688) @@ -5,17 +5,21 @@ %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% -This \chapthing\ presents machine learning PRs available in -GATE. Currently, two PRs are available: +This \chapthing\ describes older machine learning PRs available in +GATE. The most up to date and best supported machine learning PR in +GATE is the \textbf{Learning Framework}. This is available on Github +at the address below: +https://github.com/GateNLP/gateplugin-LearningFramework + +The two historical PRs described in this chapter are as follows: + \begin{itemize} -\item{The \textbf{Batch Learning PR} (in the \textbf{Learning} plugin) is GATE's -most comprehensive and developed machine learning offering. It is specifically -targetted at NLP tasks including text classification, chunk learning (e.g. for -named entity recognition) and relation learning. It integrates LibSVM for -improved speed, along with the PAUM algorithm, offering very competitive -performance and speed. It also offers a Weka interface. It is documented in +\item{The \textbf{Batch Learning PR} (in the \textbf{Learning} plugin) is targetted at NLP tasks including text classification, chunk learning (e.g. for +named entity recognition) and relation learning. It integrates LibSVM +for improved speed, along with the PAUM algorithm. It also offers a +Weka interface. It is documented in Section~\ref{sec:ml:batch-learning-pr}.} %It is introduced briefly %in section~\ref{sect:learning-pr} and documented more fully in @@ -23,18 +27,19 @@ %short introduction to machine learning, in which concepts are defined.} \item{The \textbf{Machine Learning PR} (in the \textbf{Machine\_Learning} plugin) -is GATE's older machine learning offering. It offers wrappers for Maxent, Weka -and SVM Light. It is documented in Section~\ref{sec:ml:machine-learning-pr}.} +is GATE's even older machine learning offering. It offers wrappers for +Maxent, Weka and SVM Light. It is documented in +Section~\ref{sec:ml:machine-learning-pr}.} \end{itemize} To use GATE in conjunction with machine learning technologies that are -not supported by the two PRs described here, you would need to export -your data from GATE to use with the ML technology outside of GATE. One -possibility for doing that would be to use the \textbf{Configurable -Exporter PR} described in -Section~\ref{sec:misc-creole:confexport}. The \textbf{Batch Learning PR} -also offers data export functionality. +not supported by a GATE PR, you would need to export your data from +GATE to use with the ML technology outside of GATE. One possibility +for doing that would be to use the \textbf{Configurable Exporter PR} +described in +Section~\ref{sec:misc-creole:confexport}. The \textbf{Batch Learning +PR} also offers data export functionality. The rest of the \chapthing\ is organised as follows. Section \ref{sec:ml:generalities} introduces machine learning in general, focusing on the This was sent by the SourceForge.net collaborative development platform, the world's largest Open Source development site. ------------------------------------------------------------------------------ Check out the vibrant tech community on one of the world's most engaging tech sites, SlashDot.org! http://sdm.link/slashdot _______________________________________________ GATE-cvs mailing list GATE-cvs@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/gate-cvs