[Corpora-List] MaltOptimizer

[Mohammad Sadegh Rasooli]

Hello Miguel,
Do you mean that the mentioned tool works as a combined feature selection
and learner model parameter selection tool? How this optimization affects
learning speed?
Thanks

Mohammad Sadegh Rasooli
Head of the Persian Dependency Treebank Project:
http://dadegan.ir/en/persiandependencytreebank

On Fri, Feb 17, 2012 at 5:30 PM, Miguel Ballesteros <
miguelballesteros1 at gmail.com> wrote:

> Let us introduce MaltOptimizer, an optimization tool for MaltParser.
>
> MaltOptimizer has been (and is) developed by Miguel Ballesteros<http://nil.fdi.ucm.es/index.php?q=node/449>from Complutense
> University of Madrid <http://www.ucm.es/> (Spain) and Joakim Nivre<http://stp.lingfil.uu.se/%7Enivre/>from Uppsala
> University <http://www.uu.se/en/> (Sweden).
>
> Freely available statistical parsers often require careful optimization to
> produce state-of-the-art results, which can be a non-trivial task
> especially for application developers who are not interested in parsing
> research for its own sake. MaltOptimizer is a freely available tool
> developed to facilitate parser optimization with the open-source system
> MaltParser, which offers a wide range of parameters for optimization,
> including nine different parsing algorithms, two different machine learning
> libraries (each with a number of different learners), and an expressive
> specification language that can be used to define arbitrarily rich feature
> models. MaltOptimizer is an interactive system that first performs an
> analysis of the training set in order to select a suitable starting point
> for optimization and then guides the user through the optimization of
> parsing algorithm, feature model, and learning algorithm parameters.
>
> The system will be demonstrated in the System Demonstration Session at EACL
> 2012 <http://eacl2012.org/home/index.html> and is further described in a
> paper to appear at LREC 2012 <http://www.lrec-conf.org/lrec2012/>.
>
> For further information and download:  http://nil.fdi.ucm.es/maltoptimizer
>
> Best regards,
> Miguel and Joakim
>
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