built-in-overview.html

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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
                <a href="/built-in-token-parser.html">Token Parsers</a>,
                <a href="/built-in-token-enricher.html">Token Enrichers</a> and
                <a href="/built-in-entity-parser.html">Entity Parsers</a>
                have built-in implementations and can have broad range of uses.
            </li>
            <li>
                Other pipeline components:
                <code>Token Validators</code>,
                <code>Entity Enrichers</code>,
                <code>Entity Mappers</code>,
                <code>Entity Validators</code> and
                <code>Variant Filters</code>
                can't have built-in implementations
                because their logic are depended on concrete user model.
            </li>
        </ul>

        <p>
            <a href="built-in-builder.html">Pipeline Builder</a> section describes helpers class and its methods for pipeline creation.
        </p>

        <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>
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    <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>