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id: built-in-overview
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<div class="col-md-8 second-column">
<section id="overview">
<h2 class="section-title">Built-in Components Overview<a href="#"><i class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
<p>
<a href="/api-components.html#model-pipeline">Model Pipeline</a> contains
chain of components traits which are responsible for sentence processing.
Some built-in implementations of these traits are described below.
</p>
<p>There are two kinds of pipeline components:</p>
<ul>
<li>
Pipeline components
<code>token parser</code>,
<code>token enricher</code> and
<code>entity parser</code>
have built-in implementations and can have broad range of uses.
Built-in implementations of them are described in related sections:
<a href="/built-in-token-parser.html">Token Parsers</a>,
<a href="/built-in-token-enricher.html">Token Enrichers</a>,
<a href="/built-in-entity-parser.html">Entity Parsers</a>.
</li>
<li>
Other pipeline components:
<code>token validator</code>,
<code>entity enricher</code>,
<code>entity mapper</code>,
<code>entity validator</code> and
<code>variant filter</code>
can't have built-in implementations
because their logic are depended on concrete user model.
</li>
</ul>
<div class="bq info">
<p><b>Built-in component licenses.</b></p>
<p>
All built-in components which are based on <a href="https://nlp.stanford.edu/">Stanford NLP</a> models classes
are provided with <a href="http://www.gnu.org/licenses/gpl-2.0.html">GNU General Public License</a>.
Look at Stanford NLP <a href="https://nlp.stanford.edu/software/">Software</a> page.
All such components are placed in special project module <code>nlpcraft-stanford</code>.
All other components are proved with <a href="https://www.apache.org/licenses/LICENSE-2.0">Apache License Version 2.0</a> license.
</p>
</div>
</section>
</div>
<div class="col-md-2 third-column">
<ul class="side-nav">
<li class="side-nav-title">On This Page</li>
<li><a href="#overview">Overview</a></li>
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</ul>
</div>