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adding 1.3.3 models to documentation
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README.md

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+ [NERC tagging](#tagging)
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+ [Training your own models](#training)
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+ [Evaluation](#evaluation)
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3. [Maven Dependency ixa-pipe-nerc](#api)
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3. [API via Maven Dependency](#api)
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4. [Git installation](#installation)
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## OVERVIEW
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**ixa-pipe-nerc models and resources**:
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+ **Latest models**: [nerc-models-latest.tgz](http://ixa2.si.ehu.es/ixa-pipes/models/nerc-models-1.3.3.tgz)
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+ Release 3.2 models: [nerc-models-$version.tgz](http://ixa2.si.ehu.es/ixa-pipes/models/nerc-models-1.3.2.tgz)
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+ The [nerc-resources.tgz](http://ixa2.si.ehu.es/ixa-pipes/models/nerc-resources.tgz)
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package, which contains **every resource** required to train the English models
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with clustering and dictionary features.
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+ **Latest models**:[nerc-models-latest.tgz](http://ixa2.si.ehu.es/ixa-pipes/models/nerc-models-1.3.3.tgz)
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+ Release 3.2 models: [nerc-models-$version.tgz](http://ixa2.si.ehu.es/ixa-pipes/models/nerc-models-1.3.2.tgz)
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All models are trained with the averaged Perceptron algorithm as
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described in (Collins 2002):
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+ CoNLL 2002 local features: F1 79.50
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+ **Dutch Models**:
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+ CoNLL 2002 local features: F1 78.10
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+ CoNLL 2002 local features: F1 78.13
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+ **German Models**:
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+ CoNLL 2003 local features: F1 70.07
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+ CoNLL 2003 local features: F1 71.62
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+ **Italian Models**:
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+ Evalita07 local features: F1 71.18
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+ Evalita09 local features: F1 74.20
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+ Evalita07 local features: F1 70.93
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+ Evalita09 local features: F1 74.43
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## CLI-USAGE
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