This is an automated email from the ASF dual-hosted git repository.
sergeykamov pushed a commit to branch NLPCRAFT-513
in repository https://gitbox.apache.org/repos/asf/incubator-nlpcraft-website.git
The following commit(s) were added to refs/heads/NLPCRAFT-513 by this push:
new ffb28a3 WIP.
ffb28a3 is described below
commit ffb28a360d46d90597f52df5f17482d35683511f
Author: skhdl <[email protected]>
AuthorDate: Fri Oct 21 20:49:04 2022 +0400
WIP.
---
_includes/left-side-menu.html | 14 +-
built-components.html | 228 +++++++++++
integrations.html | 926 ------------------------------------------
3 files changed, 235 insertions(+), 933 deletions(-)
diff --git a/_includes/left-side-menu.html b/_includes/left-side-menu.html
index 64e44c5..42e18e4 100644
--- a/_includes/left-side-menu.html
+++ b/_includes/left-side-menu.html
@@ -24,6 +24,13 @@
<a href="/docs.html">Overview</a>
{% endif %}
</li>
+ <li>
+ {% if page.id == "built-components" %}
+ <a class="active" href="/built-components.html">Built components</a>
+ {% else %}
+ <a href="/built-components.html">Built components</a>
+ {% endif %}
+ </li>
<li>
{% if page.id == "installation" %}
<a class="active" href="/installation.html">Installation</a>
@@ -59,13 +66,6 @@
<a href="/short-term-memory.html">Short-Term Memory</a>
{% endif %}
</li>
- <li>
- {% if page.id == "integrations" %}
- <a class="active" href="/integrations.html">Integrations</a>
- {% else %}
- <a href="/integrations.html">Integrations</a>
- {% endif %}
- </li>
<li class="side-nav-title">Examples</li>
<li>
{% if page.id == "calculator" %}
diff --git a/built-components.html b/built-components.html
new file mode 100644
index 0000000..8894a53
--- /dev/null
+++ b/built-components.html
@@ -0,0 +1,228 @@
+---
+active_crumb: Docs
+layout: documentation
+id: overview
+---
+
+<!--
+ Licensed to the Apache Software Foundation (ASF) under one or more
+ contributor license agreements. See the NOTICE file distributed with
+ this work for additional information regarding copyright ownership.
+ The ASF licenses this file to You under the Apache License, Version 2.0
+ (the "License"); you may not use this file except in compliance with
+ the License. You may obtain a copy of the License at
+
+ http://www.apache.org/licenses/LICENSE-2.0
+
+ Unless required by applicable law or agreed to in writing, software
+ distributed under the License is distributed on an "AS IS" BASIS,
+ WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+ See the License for the specific language governing permissions and
+ limitations under the License.
+-->
+
+<div class="col-md-8 second-column">
+ <section id="overview">
+ <h2 class="section-title">Built components <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
+
+ <p>
+ Model pipeline <code>NCPipeline</code> is base component which
responsible for sentence processing.
+ It is consists of a number of traits, some built implementations
of them are described below.
+ </p>
+
+ <div class="bq info">
+ <p><b>Built component licenses.</b></p>
+ <p>
+ All built components which are based on <a
href="https://nlp.stanford.edu/";>Stanford NLP</a> models and 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>
+
+ <ul>
+ <li>
+ <code>NCTokenParser</code>. There are provided two built
implementations, both for English language.
+ <ul>
+ <li>
+ <code>NCOpenNLPTokenParser</code>. It is token parser
implementation which is wrapper on
+ <a href="https://opennlp.apache.org/";>Apache
OpenNLP</a> project tokenizer.
+ </li>
+ <li>
+ <code>NCStanfordNLPTokenParser</code>. It is token
parser implementation which is wrapper on
+ <a href="https://nlp.stanford.edu/";>Stanford NLP</a>
project tokenizer.
+ </li>
+ </ul>
+ </li>
+
+ <li>
+ <code>NCTokenEnricher</code>. There are provided a number of
built implementations, all of them for English language.
+ <ul>
+ <li>
+ <code>NCOpenNLPLemmaPosTokenEnricher</code> -
+ this component allows to add <code>lemma</code> and
<code>pos</code> values to processed token.
+ Look at these links fpr more details: <a
href="https://www.wikiwand.com/en/Lemma_(morphology)">Lemma</a> and
+ <a
href="https://www.wikiwand.com/en/Part-of-speech_tagging";>Part of speech</a>.
+ Current implementation is based on <a
href="https://opennlp.apache.org/";>Apache OpenNLP</a> project components.
+ Is uses Apache OpenNLP models, which are accessible
+ <a
href="http://opennlp.sourceforge.net/models-1.5/";>here</a> for POS taggers.
+ English lemmatization model is accessible <a
href="https://raw.githubusercontent.com/richardwilly98/elasticsearch-opennlp-auto-tagging/master/src/main/resources/models/en-lemmatizer.dict";>here</a>.
+ You can use any models which are compatible with
Apache OpenNLP <a
href="https://opennlp.apache.org/docs/2.0.0/apidocs/opennlp-tools/opennlp/tools/postag/POSTaggerME.html";>POSTaggerME</a>
and
+ <a
href="https://opennlp.apache.org/docs/2.0.0/apidocs/opennlp-tools/opennlp/tools/lemmatizer/DictionaryLemmatizer.html";>DictionaryLemmatizer</a>
components.
+ </li>
+ <li>
+ <code>NCEnBracketsTokenEnricher</code> -
+ this component allows to add <code>brackets</code>
boolean flag to processed token.
+ </li>
+ <li>
+ <code>NCEnQuotesTokenEnricher</code> -
+ this component allows to add <code>quoted</code>
boolean flag to processed token.
+ </li>
+ <li>
+ <code>NCEnDictionaryTokenEnricher</code> -
+ this component allows to add <code>dict</code> boolean
flag to processed token.
+ Note that it requires already defined
<code>lemma</code> token property,
+ You can use
<code>NCOpenNLPLemmaPosTokenEnricher</code> or any another component which sets
+ <code>lemma</code> into the token.
+ </li>
+ <li>
+ <code>NCEnStopWordsTokenEnricher</code> -
+ this component allows to add <code>stopword</code>
boolean flag to processed token.
+ It is based on predefined rules for English language,
but it can be also extended by custom user word list and excluded list.
+ Note that it requires already defined
<code>lemma</code> token property,
+ You can use
<code>NCOpenNLPLemmaPosTokenEnricher</code> or any another component which sets
+ <code>lemma</code> into the token.
+ </li>
+ <li>
+ <code>NCEnSwearWordsTokenEnricher</code> -
+ this component allows to add <code>swear</code>
boolean flag to processed token.
+ </li>
+ </ul>
+ </li>
+
+ <li>
+ <code>NCEntityParser</code>. There are provided a number of
built implementations, all of them for English language.
+ <ul>
+ <li>
+ <code>NCNLPEntityParser</code> converts NLP tokens
into entities with four mandatory properties:
+ <code>nlp:token:text</code>,
<code>nlp:token:index</code>, <code>nlp:token:startCharIndex</code> and
+ <code>nlp:token:endCharIndex</code>. However, if any
other properties were added into
+ processed tokens by <code>NCTokenEnricher</code>
components, they will be copied also with names
+ prefixed with <code>nlp:token:</code>.
+ Note that converted tokens set can be restricted by
predicate.
+ </li>
+ <li>
+ <code>NCOpenNLPEntityParser</code> is wrapper on <a
href="https://opennlp.apache.org/";>Apache OpenNLP</a> NER components.
+ Look at the supported <b>Name Finder</b> models <a
href="https://opennlp.sourceforge.net/models-1.5/";>here</a>.
+ For example for English language are accessible:
<code>Location</code>, <code>Money</code>,
+ <code>Person</code>, <code>Organizationon</code>,
<code>Date</code>, <code>Time</code> and <code>Percentage</code>.
+ </li>
+ <li>
+ <code>NCStanfordNLPEntityParser</code> is wrapper on
<a href="https://nlp.stanford.edu/";>Stanford NLP</a> NER components.
+ Look at the detailed information <a
href="https://nlp.stanford.edu/software/CRF-NER.shtml";>here</a>.
+ </li>
+ <li>
+ <code>NCSemanticEntityParser</code> is
wrapper..........
+ </li>
+ </ul>
+ </li>
+ </ul>
+
+ <p>
+ Following pipeline components cannot have build implementation
because their logic are depend on concrete user model:
+ <code>NCTokenValidator</code>, <code>NCEntityEnricher</code>,
<code>NCEntityValidator</code>,
+ <code>NCEntityMapper</code> and <code>NCVariantFilter</code>.
+ </p>
+
+ <p>
+ <code>NCPipelineBuilder</code> class is designed for simplifying
preparing <code>NCPipeline</code> instance.
+ It contains a number of methods <code>withSemantic()</code> which
allow to prepare pipeline instance based on
+ <code>NCSemanticEntityParser</code> and configured language.
+ Currently only one language is supported - English.
+ It also adds following English components into pipeline:
+ </p>
+
+ <ul>
+ <li><code>NCOpenNLPTokenParser</code></li>
+ <li><code>NCOpenNLPLemmaPosTokenEnricher</code></li>
+ <li><code>NCEnStopWordsTokenEnricher</code></li>
+ <li><code>NCEnSwearWordsTokenEnricher</code></li>
+ <li><code>NCEnQuotesTokenEnricher</code></li>
+ <li><code>NCEnDictionaryTokenEnricher</code></li>
+ <li><code>NCEnBracketsTokenEnricher</code></li>
+ </ul>
+
+ <p>Typical usage example:</p>
+
+ <pre class="brush: scala, highlight: []">
+ val pipeline = new NCPipelineBuilder().withSemantic("en",
"lightswitch_model.yaml").build
+ </pre>
+ <ul>
+ <li>
+ It defines pipeline with all default English language
components and one semantic entity parser with \
+ model defined in <code>lightswitch_model.yaml</code>.
+ </li>
+ </ul>
+
+ <p>Another example:</p>
+
+ <pre class="brush: scala, highlight: [2, 6, 7, 12, 13, 14, 15]">
+ val pipeline =
+ val stanford =
+ val props = new Properties()
+ props.setProperty("annotators", "tokenize, ssplit, pos,
lemma, ner")
+ new StanfordCoreNLP(props)
+ val tokParser = new NCStanfordNLPTokenParser(stanford)
+ val stemmer = new NCSemanticStemmer():
+ private val ps = new PorterStemmer
+ override def stem(txt: String): String = ps.synchronized {
ps.stem(txt) }
+
+ new NCPipelineBuilder().
+ withTokenParser(tokParser).
+ withTokenEnricher(new NCEnStopWordsTokenEnricher()).
+ withEntityParser(new NCStanfordNLPEntityParser(stanford,
Set("number"))).
+ build
+ </pre>
+ <ul>
+ <li>
+ <code>Line 2</code> defines configured
<code>StanfordCoreNLP</code> class instance.
+ Look at <a href="https://nlp.stanford.edu/";>Stanford NLP</a>
documentation for more details.
+ </li>
+ <li>
+ <code>Line 6</code> defines token parser
<code>NCStanfordNLPTokenParser</code>, pipeline mandatory component.
+ Note that this one instance is used for two places: in
pipeline definition on <code>line 12</code> and
+ in <code>NCSemanticEntityParser</code> definition on
<code>line 15</code>.
+ </li>
+ <li>
+ <code>Line 7</code> defines simple implementation of semantic
stemmer which is necessary part
+ of <code>NCSemanticEntityParser</code>.
+ </li>
+ <li>
+ <code>Line 13</code> defines configured
<code>NCEnStopWordsTokenEnricher</code> token enricher.
+ </li>
+ <li>
+ <code>Line 14</code> defines
<code>NCStanfordNLPEntityParse</code> entity parser based on Stanford NER
+ configured for number values detection.
+ </li>
+ <li>
+ <code>Line 14</code> defines
<code>NCStanfordNLPEntityParse</code> entity parser based on Stanford NER
+ configured for number values detection.
+ </li>
+ <li>
+ <code>Line 15</code> defines pipeline building.
+ </li>
+ </ul>
+ </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>
+ {% include quick-links.html %}
+ </ul>
+</div>
+
+
+
+
diff --git a/integrations.html b/integrations.html
deleted file mode 100644
index c2fcc0d..0000000
--- a/integrations.html
+++ /dev/null
@@ -1,926 +0,0 @@
----
-active_crumb: Integrations
-layout: documentation
-id: integrations
----
-
-<!--
- Licensed to the Apache Software Foundation (ASF) under one or more
- contributor license agreements. See the NOTICE file distributed with
- this work for additional information regarding copyright ownership.
- The ASF licenses this file to You under the Apache License, Version 2.0
- (the "License"); you may not use this file except in compliance with
- the License. You may obtain a copy of the License at
-
- http://www.apache.org/licenses/LICENSE-2.0
-
- Unless required by applicable law or agreed to in writing, software
- distributed under the License is distributed on an "AS IS" BASIS,
- WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
- See the License for the specific language governing permissions and
- limitations under the License.
--->
-
-<!--suppress CheckImageSize -->
-<div id="integrations" class="col-md-8 second-column">
- <section>
- <span id="overview" class="section-title">Overview <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></span>
- <p>
- NLPCraft provides several integration points for a underlying SQL
storage, <a href="#gridgain">GridGain Control Center</a> and
- <a href="#nlp">NLP functionality</a>.
- </p>
- <span id="nlp" class="section-title">NLP Functionality <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></span>
- <p>
- NLPCraft comes with integrations for several 3rd party NLP
libraries and projects. External
- integrations can be used for two distinct purposes inside of
NLPCraft:
- </p>
- <ul>
- <li>
- <b>Base NLP Engine</b>
- <p>
- As a base NLP engine the external project is responsible
for all basic NLP pre-processing
- such as tokenization, lemmatization, stemmatization, PoS
tagging, etc. Base NLP engine
- has significant performance requirement and therefore
cannot be based on a APIs that
- requires a network trip.
- </p>
- </li>
- <li>
- <b>Token Provider</b>
- <p>
- As a token provider the external project will be used for
detection of the named entities.
- </p>
- </li>
- </ul>
- <p>
- Note that the same external project can be used for both roles,
and projects can be mixed and matched
- together through NLPCraft configuration. You can only have one
base NLP engine but you can configure
- multiple token providers. The following table shows supported 3rd
party integrations and
- their roles:
- </p>
- <table class="gradient-table checks">
- <thead>
- <tr>
- <th>Project</th>
- <th>Base NLP Engine</th>
- <th>Token Provider</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>NLPCraft</td>
- <td style="text-align: center;"><i class="fas
fa-times"></i></td>
- <td style="text-align: center;"><i class="fas
fa-check-double"></i></td>
- </tr>
- <tr>
- <td><a href="#opennlp">OpenNLP</a></td>
- <td style="text-align: center;"><i class="fas
fa-check-double"></i></td>
- <td style="text-align: center;"><i class="fas
fa-check"></i></td>
- </tr>
- <tr>
- <td><a href="#google">Google Natural Language</a></td>
- <td style="text-align: center;"><i class="fas
fa-times"></i></td>
- <td style="text-align: center;"><i class="fas
fa-check"></i></td>
- </tr>
- <tr>
- <td><a href="#stanford">Stanford CoreNLP</a></td>
- <td style="text-align: center;"><i class="fas
fa-check"></i></td>
- <td style="text-align: center;"><i class="fas
fa-check"></i></td>
- </tr>
- <tr>
- <td><a href="#spacy">spaCy</a></td>
- <td style="text-align: center;"><i class="fas
fa-times"></i></td>
- <td style="text-align: center;"><i class="fas
fa-check"></i></td>
- </tr>
- </tbody>
- </table>
-
- <div class="bq warn">
- <b>Configuring Token Providers</b>
- <p>
- REST server configuration support zero or more token
providers. Data models also have to specify
- the specific tokens they are expecting the REST server and
probe to detect. This is done to limit the
- unnecessary processing since implicit enabling of all token
providers and all tokens can lead to
- a significant slow down of processing:
- </p>
- <ul>
- <li>
- REST server <a href="/server-and-probe.html">configuration
property</a> <code>tokenProvides</code> provides the list of enabled token
providers.
- </li>
- <li>
- Data model provides its required tokens via
- <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCModelView.html#getEnabledBuiltInTokens()">NCModelView.getEnabledBuiltInTokens()</a>
method.
- </li>
- </ul>
- </div>
- </section>
- <section>
- <img id="nlpcraft" class="img-title"
src="/images/nlpcraft_logo_black.gif" height="48px" alt="">
- <p>
- NLPCraft is an open source library for adding natural language
Interface to any applications.
- </p>
- <h2 class="section-title">Base NLP Engine <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- N/A
- </p>
- <h2 class="section-title">Token Provider <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- NLPCraft provides its own set of built-in elements. NLPCraft token
IDs start with <code>nlpcraft</code>. Note
- also that all NLPCraft built-in tokens are normalized named
entities (NNE), i.e. they provide normalized
- information and not just their IDs:
- </p>
- <table class="gradient-table">
- <thead>
- <tr>
- <th>Token ID</th>
- <th>Description</th>
- <th>Example</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td><code>nlpcraft:nlp</code></td>
- <td>
- <p>
- This token denotes a word (always a single word) that
is not a part of any other token. It's
- also call a free-word, i.e. a word that is not linked
to any other detected model element.
- </p>
- <p>
- <b>NOTE:</b> the metadata from this token defines a
common set of NLP properties and
- is present in every other token as well.
- </p>
- </td>
- <td>
- <ul>
- <li>Jamie goes <code>home</code> (assuming that a word
'home' does not belong to any model element).</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:date</code></td>
- <td>
- This token denotes a date range. It recognizes dates from
1900 up to 2023. Note that it does not
- currently recognize time component.
- </td>
- <td>
- <ul>
- <li>Meeting <code>next tuesday</code>.</li>
- <li>Report for entire <code>2018 year</code>.</li>
- <li>Data <code>from 1/1/2017 to 12/31/2018</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:num</code></td>
- <td>
- This token denotes a single numeric value or numeric
condition.
- </td>
- <td>
- <ul>
- <li>Price <code>> 100</code>.</li>
- <li>Price is <code>less than $100</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:continent</code></td>
- <td>
- This token denotes a geographical continent.
- </td>
- <td>
- <ul>
- <li>Population of <code>Africa</code>.</li>
- <li>Surface area of <code>America</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:subcontinent</code></td>
- <td>
- This token denotes a geographical subcontinent.
- </td>
- <td>
- <ul>
- <li>Population of <code>Alaskan peninsula</code>.</li>
- <li>Surface area of <code>South America</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:region</code></td>
- <td>
- This token denotes a geographical region/state.
- </td>
- <td>
- <ul>
- <li>Population of <code>California</code>.</li>
- <li>Surface area of <code>South Dakota</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:country</code></td>
- <td>
- This token denotes a country.
- </td>
- <td>
- <ul>
- <li>Population of <code>France</code>.</li>
- <li>Surface area of <code>USA</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:city</code></td>
- <td>
- This token denotes a city.
- </td>
- <td>
- <ul>
- <li>Population of <code>Paris</code>.</li>
- <li>Surface area of <code>Washington DC</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:metro</code></td>
- <td>
- This token denotes a metro area.
- </td>
- <td>
- <ul>
- <li>Population of <code>Cedar Rapids-Waterloo-Iowa
City & Dubuque, IA</code> metro area.</li>
- <li>Surface area of <code>Norfolk-Portsmouth-Newport
News, VA</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:sort</code></td>
- <td>
- This token denotes a sorting or ordering.
- </td>
- <td>
- <ul>
- <li>Report <code>sorted from top to bottom</code>.</li>
- <li>Analysis <code>sorted in descending
order</code>.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:limit</code></td>
- <td>
- This token denotes a numerical limit.
- </td>
- <td>
- <ul>
- <li>Show <code>top 5</code> brands.</li>
- <li>Show <code>several</code> brands.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:coordinate</code></td>
- <td>
- This token denotes a latitude and longitude coordinates.
- </td>
- <td>
- <ul>
- <li>Route the path to <code>55.7558, 37.6173</code>
location.</li>
- </ul>
- </td>
- </tr>
- <tr>
- <td><code>nlpcraft:relation</code></td>
- <td>
- This token denotes a relation function:
- <code>compare</code> or
- <code>correlate</code>. Note this token always need
another two tokens that it references.
- </td>
- <td>
- <ul>
- <li>
- What is the <code><b>correlation
between</b></code> <code>price</code> <code><b>and</b></code>
<code>location</code>
- (assuming that 'price' and 'location' are also
detected tokens).
- </li>
- </ul>
- </td>
- </tr>
- </tbody>
- </table>
- <p>
- <b>NOTES:</b>
- </p>
- <ul>
- <li>
- See <a href="data-model.html#meta">token metadata</a>
documentation for detailed information
- for token metadata properties.
- </li>
- <li>
- Make sure to enable this token provider <code>nlpcraft</code>
in REST server configuration
- using <code>nlpcraft.server.tokenProviders</code> property.
- </li>
- <li>
- Make sure to also properly configure required tokens in you
model configuration via
- <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCModelView.html#getEnabledBuiltInTokens()">NCModelView.getEnabledBuiltInTokens()</a>
method.
- </li>
- </ul>
- </section>
- <section>
- <img id="opennlp" class="img-title" src="/images/opennlp-logo.png"
height="48px" alt="">
- <p>
- <a href="https://opennlp.apache.org";>Apache OpenNLP</a> is an
open-source library for a machine learning based
- processing of natural language text.
- </p>
- <h2 class="section-title">Base NLP Engine <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- <a href="https://opennlp.apache.org";>Apache OpenNLP</a> is used by
NLPCraft as a default base NLP engine. You can also set
- it explicitly on REST server and probe via configuration property:
<code>nlpcraft.nlpEngine=opennlp</code>
- </p>
- <h2 class="section-title">Token Provider <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- OpenNLP can be used independently as a token provider (even if
other library is used as a base NLP engine).
- OpenNLP provides its own set of built-in tokens supported by
NLPCraft.
- OpenNLP token IDs have a form of <code>opennlp:xxx</code>, where
<code>xxx</code> is a lower case
- name of the named entity in OpenNLP.
- </p>
- <p>
- Configuration notes:
- </p>
- <ul>
- <li>
- <p>
- OpenNLP integration is configured with the following
pre-train English OpenNLP
- <a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>models</a> version 1.5:
- </p>
- <table class="gradient-table">
- <thead>
- <tr>
- <th>Named Entity</th>
- <th>OpenNLP Model</th>
- <th>Token ID</th>
- </tr>
- </thead>
- <tbody>
- <tr>
- <td>Location</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-location.bin</a></td>
- <td><code>opennlp:location</code></td>
- </tr>
- <tr>
- <td>Money</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-money.bin</a></td>
- <td><code>opennlp:money</code></td>
- </tr>
- <tr>
- <td>Person</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-person.bin</a></td>
- <td><code>opennlp:person</code></td>
- </tr>
- <tr>
- <td>Organization</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-organization.bin</a></td>
- <td><code>opennlp:organization</code></td>
- </tr>
- <tr>
- <td>Date</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-date.bin</a></td>
- <td><code>opennlp:date</code></td>
- </tr>
- <tr>
- <td>Time</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-time.bin</a></td>
- <td><code>opennlp:time</code></td>
- </tr>
- <tr>
- <td>Percentage</td>
- <td><a target="opennlp"
href="https://opennlp.sourceforge.net/models-1.5/";>en-ner-percentage.bin</a></td>
- <td><code>opennlp:percentage</code></td>
- </tr>
- </tbody>
- </table>
- </li>
- <li>
- See <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCToken.html">NCToken</a>
- documentation for token properties.
- </li>
- <li>
- Make sure to enable this token provider <code>opennlp</code>
in REST server configuration
- using <code>nlpcraft.server.tokenProviders</code> property.
- </li>
- <li>
- Make sure to properly configure required tokens in you model
configuration via
- <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCModelView.html#getEnabledBuiltInTokens()">NCModelView.getEnabledBuiltInTokens()</a>
method.
- </li>
- </ul>
- </section>
- <section>
- <img id="google" class="img-title"
src="/images/google-cloud-logo-small.png" height="56px" alt="">
- <p>
- <a href="https://cloud.google.com/natural-language/";>Google
Natural Language</a> uses machine learning
- to reveal the structure and meaning of text.
- </p>
- <h2 class="section-title">Base NLP Engine <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- N/A
- </p>
- <h2 class="section-title">Token Provider <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- Google Natural Language provides its own set of built-in elements.
- To use Google token provider the environment variable
<code>GOOGLE_APPLICATION_CREDENTIALS</code>
- should be configured to point to proper Google JSON credential
file (see
- <a
href="https://cloud.google.com/docs/authentication/production";>Google
documentation</a> for more details).
- Google Natural Language token IDs have a form of
<code>google:xxx</code>, where <code>xxx</code> is a lower
- case name of the Named Entity in Google APIs, i.e.
<code>google:person</code>, <code>google:location</code>,
- etc.
- </p>
- <p>Configuration notes:</p>
- <ul>
- <li>
- See Google Natural Language
- <a target="google"
href="https://cloud.google.com/natural-language/docs/reference/rest/v1/Entity#Type";>documentation</a>
- for more details on supported tokens.
- </li>
- <li>
- See <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCToken.html">NCToken</a>
documentation for token properties.
- </li>
- <li>
- Make sure to enable this token provider <code>google</code> in
REST server configuration
- using <code>nlpcraft.server.tokenProviders</code> property.
- </li>
- <li>
- Make sure to also properly configure required tokens in you
model configuration via
- <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCModelView.html#getEnabledBuiltInTokens()">NCModelView.getEnabledBuiltInTokens()</a>
method.
- </li>
- </ul>
- </section>
- <section>
- <img id="stanford" class="img-title" src="/images/corenlp-logo.png"
height="64px" alt="">
- <p>
- <a href="https://stanfordnlp.github.io/CoreNLP";>Stanford
CoreNLP</a> is a set of human language technology tools.
- </p>
- <p>
- Note that due to the fact that Stanford CoreNLP
- is licensed under <a target=_
href="https://www.gnu.org/licenses/gpl-3.0.en.html";>GNU General Public License
v3</a> you need to add
- both Stanford CoreNLP
- dependencies and NLPCraft Stanford CoreNLP integration separately
and make them available to your project.
- </p>
- <p>
- Default <code>pom.xml</code> shipped with NLPCraft release
contains Stanford CoreNLP dependency in a separate
- <code>stanford-corenlp</code> profile. To use this, you need to
enable this profile when building the project
- from sources, i.e. <code class="script">mvn clean package -P
stanford-corenlp</code>, or enable this profile in maven
- configuration:
- </p>
- <nav>
- <div class="nav nav-tabs" role="tablist">
- <a class="nav-item nav-link active" data-toggle="tab"
href="#nav-stanfordnlp-maven" role="tab">Maven <sup>Java</sup></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-stanfordnlp-grape" role="tab" aria-controls="nav-profile"
aria-selected="false">Grape <sup>Groovy</sup></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-stanfordnlp-gradle" role="tab" aria-controls="nav-profile"
aria-selected="false">Gradle <sup>Kotlin</sup></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-stanfordnlp-sbt" role="tab" aria-controls="nav-contact"
aria-selected="false">SBT <sup>Scala</sup></a>
- </div>
- </nav>
- <div class="tab-content">
- <div class="tab-pane fade show active" id="nav-stanfordnlp-maven"
role="tabpanel">
- <pre class="brush: xml, highlight: 4">
- <dependency>
- <groupId>edu.stanford.nlp</groupId>
- <artifactId>stanford-corenlp</artifactId>
- <version>3.9.2</version>
- </dependency>
- <dependency>
- <groupId>org.apache.nlpcraft</groupId>
- <artifactId>nlpcraft-stanford</artifactId>
- <version>{{site.latest_version}}</version>
- </dependency>
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-stanfordnlp-grape"
role="tabpanel">
- <pre class="brush: java">
- @Grab ('edu.stanford.nlp:stanford-corenlp:3.9.2')
- @Grab
('org.apache.nlpcraft:nlpcraft-stanford:{{site.latest_version}}')
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-stanfordnlp-gradle"
role="tabpanel">
- <pre class="brush: java">
- dependencies {
- runtime group: 'edu.stanford.nlp', name:
'stanford-corenlp', version: '3.9.2'
- runtime group: 'org.apache.nlpcraft', name:
'nlpcraft-stanford', version: '{{site.latest_version}}'
- }
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-stanfordnlp-sbt"
role="tabpanel">
- <pre class="brush: scala">
- libraryDependencies += "edu.stanford.nlp" %
"stanford-corenlp" % "3.9.2"
- libraryDependencies += "org.apache.nlpcraft" %
"nlpcraft-stanford" % "{{site.latest_version}}"
- </pre>
- </div>
- </div>
- <div class="bq warn">
- Make sure to change Stanford CoreNLP <code>3.9.2</code> version to
the latest or required one.
- </div>
- <p>
- Note that you can also <a target=_
href="https://stanfordnlp.github.io/CoreNLP/";>download</a>
- Stanford CoreNLP as a separate JAR file and add it to your
- project classpath if you are not using, or instead of, build tools.
- </p>
- <h2 class="section-title">Base NLP Engine <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- You can set Stanford CoreNLP as a base NLP engine:
- </p>
- <ul>
- <li>
- Set configuration property
<code>nlpcraft.nlpEngine=stanford</code>
- </li>
- <li>
- Stanford CoreNLP library must be available <b>on both</b> the
REST server and the data probe.
- </li>
- </ul>
- <h2 class="section-title">Token Provider <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- Stanford CoreNLP can be used as a token provider independently
from base NLP engine:
- <p>
- <ul>
- <li>
- Stanford CoreNLP library should <b>only</b> be available on
the data probe.
- </li>
- </ul>
- <p>
- Stanford CoreNLP provides its own set of built-in elements.
- Stanford CoreNLP token IDs have a form of
<code>stanford:xxx</code>, where <code>xxx</code> is a lower
- case name of the Named Entity in Stanford CoreNLP, i.e.
<code>stanford:person</code>, <code>stanford:location</code>,
- etc.
- </p>
- <p>Configuration notes:</p>
- <ul>
- <li>
- See Stanford CoreNLP Named Entity Recognition
- <a target="_blank"
href="https://stanfordnlp.github.io/CoreNLP/ner.html";>documentation</a>
- for more details on supported token types.
- </li>
- <li>
- See <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCToken.html">NCToken</a>
- documentation for token properties.
- </li>
- <li>
- Make sure to enable this token provider <code>stanford</code>
in REST server configuration
- using <code>nlpcraft.server.tokenProviders</code> property.
- </li>
- <li>
- Make sure to also properly configure required tokens in you
model configuration via
- <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCModelView.html#getEnabledBuiltInTokens()">NCModelView.getEnabledBuiltInTokens()</a>
method.
- </li>
- </ul>
- </section>
- <section>
- <img id="spacy" class="img-title" src="/images/spacy-logo.png"
height="48px" alt="">
- <p>
- <a href="https://spacy.io";>spaCy</a> is a free open-source library
for Natural Language Processing in Python.
- </p>
- <h2 class="section-title">Base NLP Engine <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- N/A
- </p>
- <h2 class="section-title">Token Provider <a href="#"><i
class="top-link fas fa-fw fa-angle-double-up"></i></a></h2>
- <p>
- spaCy provides its own set of built-in elements. NLPCraft
integrates with spaCy via local Python-based
- REST server <code>/src/main/python/spacy_proxy.py</code>. It is a
very simple Flask-based implementation
- that you can freely modify to change the spaCy models or their
external attributes that are made available.
- </p>
- <p>
- This is entire source code for this local REST server:
- </p>
- <pre class="brush: python, highlight: [11, 29, 30, 58, 59]">
-import urllib.parse
-
-import spacy
-from flask import Flask, request
-from flask_restful import Resource, Api
-
-#
-# Add your own or modify spaCy libraries here.
-# By default, the English model 'en_core_web_sm' is loaded.
-#
-nlp = spacy.load("en_core_web_sm")
-
-app = Flask(__name__)
-api = Api(app)
-
-
-class Ner(Resource):
- @staticmethod
- def get():
-
- doc = nlp(urllib.parse.unquote_plus(request.args.get('text')))
- res = []
- for e in doc.ents:
- meta = {}
-
- # Change the following two lines to implements your own logic for
- # filling up meta object with custom user attributes. 'meta'
should be a dictionary (JSON)
- # with types 'string:string'.
- for key in e._.span_extensions:
- meta[key] = e._.__getattr__(key)
-
- res.append(
- {
- "text": e.text,
- "from": e.start_char,
- "to": e.end_char,
- "ner": e.label_,
- "vector": str(e.vector_norm),
- "sentiment": str(e.sentiment),
- "meta": meta
- }
- )
-
- return res
-
-
-api.add_resource(Ner, '/spacy')
-
-#
-# Default endpoint is 'localhost:5002'.
-#
-# If the endpoint here is changed make sure to provide
-# the same endpoint via configuration property
'nlpcraft.server.spacy.proxy.url',
-# i.e. 'nlpcraft.server.spacy.proxy.url=myhost:1234'
-#
-if __name__ == '__main__':
- app.run(
- host="localhost",
- port='5002'
- )
- </pre>
- <p>
- You need to start this REST server before you can use spaCy
integration in NLPCraft. Note that for
- production environment it is recommended to use
- <a target=_
href="https://en.wikipedia.org/wiki/Web_Server_Gateway_Interface";>WSGI-based
server</a> instead.
- </p>
- <p>
- Comments:
- </p>
- <ul>
- <li>
- On line 11 you can add or change spaCy models to be loaded.
- </li>
- <li>
- On lines 29-30 you can change how spans' external attributes
are collected.
- </li>
- <li>
- On lines 58-59 you can change the endpoint on which this REST
server starts. Note that you
- need to change the same endpoint on REST server via
configuration property <code>nlpcraft.server.spacy.proxy.url</code>,
- e.g. <code>nlpcraft.server.spacy.proxy.url=myhost:1234</code>.
- </li>
- </ul>
- <p>
- spaCy token IDs have a form of <code>spacy:xxx</code>, where
<code>xxx</code> is a lower case name of the Named Entity
- in spaCy APIs, i.e. <code>spacy:person</code>,
<code>spacy:location</code>, etc.
- </p>
- <p>
- Configuration notes:
- </p>
- <ul>
- <li>
- See spaCy Named Entity Recognition
- <a target="spacy"
href="https://spacy.io/usage/linguistic-features#named-entities";>documentation</a>
- for more details on supported token types.
- </li>
- <li>
- See <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCToken.html">NCToken</a>
- documentation for token properties.
- </li>
- <li>
- Make sure to enable this token provider <code>spacy</code> in
REST server configuration
- using <code>nlpcraft.server.tokenProviders</code> property.
- </li>
- <li>
- Make sure to also properly configure required tokens in you
model configuration via
- <a target="javadoc"
href="/apis/latest/org/apache/nlpcraft/model/NCModelView.html#getEnabledBuiltInTokens()">NCModelView.getEnabledBuiltInTokens()</a>
method.
- </li>
- </ul>
- </section>
- <section>
- <img id="mysql" class="img-title" src="/images/mysql-logo.png"
height="80px" alt="">
- <p>
- You can install and use MySQL as a system database for the REST
server instead of the built-in
- distributed SQL storage from Apache Ignite that is used by
default. Add the following dependency to your project:
- </p>
- <nav>
- <div class="nav nav-tabs" role="tablist">
- <a class="nav-item nav-link active" data-toggle="tab"
href="#nav-mysql-maven" role="tab">Maven <img src="/images/java2-h20.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-mysql-grape" role="tab">Grape <img src="/images/groovy-h18.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-mysql-gradle" role="tab">Gradle <img src="/images/kotlin-h18.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-mysql-sbt" role="tab">SBT <img src="/images/scala-logo-h16.png"
alt=""></a>
- </div>
- </nav>
- <div class="tab-content">
- <div class="tab-pane fade show active" id="nav-mysql-maven"
role="tabpanel">
- <pre class="brush: xml, highlight: 4">
- <dependency>
- <groupId>mysql</groupId>
-
<artifactId>mysql-connector-java</artifactId>
- <version>8.0.15</version>
- </dependency>
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-mysql-grape" role="tabpanel">
- <pre class="brush: java">
- @Grab ('mysql:mysql-connector-java:8.0.15')
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-mysql-gradle" role="tabpanel">
- <pre class="brush: java">
- dependencies {
- runtime group: 'mysql', name: 'mysql-connector-java',
version: '8.0.15'
- }
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-mysql-sbt" role="tabpanel">
- <pre class="brush: scala">
- libraryDependencies += "mysql" % "mysql-connector-java" %
"8.0.15"
- </pre>
- </div>
- </div>
- <p>
- Comments:
- </p>
- <ul>
- <li>
- Make sure to change <code>8.0.15</code> version to the latest
or required one.
- </li>
- <li>
- Update configuration property
<code>nlpcraft.server.database.jdbc</code>
- with required JDBC driver class and JDBC URL.
- </li>
- <li>
- Use scripts from <code>sql/mysql</code> folder to create
database and initialize DB schema.
- </li>
- <li>
- Note that you can also <a target=_
href="https://dev.mysql.com/downloads/connector/j";>download</a> MySQL
- JDBC driver as a separate JAR file and add it to your
- project classpath if you are not using, or instead of, build
tools.
- </li>
- </ul>
- </section>
- <section>
- <img id="postgres" class="img-title" src="/images/postgresql-logo.png"
height="80px" alt="">
- <p>
- You can install and use PostgreSQL as a system database for the
REST server instead of the built-in
- distributed SQL storage from Apache Ignite that is used by
default. Add the following dependency to your project:
- </p>
- <nav>
- <div class="nav nav-tabs" role="tablist">
- <a class="nav-item nav-link active" data-toggle="tab"
href="#nav-postgres-maven" role="tab">Maven <img src="/images/java2-h20.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-postgres-grape" role="tab">Grape <img src="/images/groovy-h18.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-postgres-gradle" role="tab">Gradle <img src="/images/kotlin-h18.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-postgres-sbt" role="tab">SBT <img src="/images/scala-logo-h16.png"
alt=""></a>
- </div>
- </nav>
- <div class="tab-content">
- <div class="tab-pane fade show active" id="nav-postgres-maven"
role="tabpanel">
- <pre class="brush: xml, highlight: 4">
- <dependency>
- <groupId>org.postgresql</groupId>
- <artifactId>postgresql</artifactId>
- <version>42.2.5</version>
- </dependency>
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-postgres-grape" role="tabpanel">
- <pre class="brush: java">
- @Grab ('org.postgresql:postgresql:42.2.5')
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-postgres-gradle"
role="tabpanel">
- <pre class="brush: java">
- dependencies {
- runtime group: 'org.postgresql', name: 'postgresql',
version: '42.2.5'
- }
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-postgres-sbt" role="tabpanel">
- <pre class="brush: scala">
- libraryDependencies += "org.postgresql" % "postgresql" %
"42.2.5"
- </pre>
- </div>
- </div>
- <p>
- Comments:
- </p>
- <ul>
- <li>
- Make sure to change <code>42.2.5</code> version to the latest
or required one.
- </li>
- <li>
- Update configuration property
<code>nlpcraft.server.database.jdbc</code>
- with required JDBC driver class and JDBC URL.
- </li>
- <li>
- Use scripts from <code>sql/postgres</code> folder to create
database and initialize DB schema.
- </li>
- <li>
- Note that you can also <a target=_
href="https://jdbc.postgresql.org/";>download</a> PostgreSQL
- JDBC driver as a separate JAR file and add it to your
- project classpath if you are not using, or instead of, build
tools.
- </li>
- </ul>
- </section>
- <section>
- <img id="oracle" class="img-title" src="/images/oracle-logo.png"
width="200px" alt="">
- <p>
- You can install and use Oracle RDBMS as a system database for the
REST server instead of the built-in
- distributed SQL storage from Apache Ignite that is used by
default. Add the following dependency to your project:
- </p>
- <nav>
- <div class="nav nav-tabs" role="tablist">
- <a class="nav-item nav-link active" data-toggle="tab"
href="#nav-oracle-maven" role="tab">Maven <img src="/images/java2-h20.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-oracle-grape" role="tab">Grape <img src="/images/groovy-h18.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-oracle-gradle" role="tab">Gradle <img src="/images/kotlin-h18.png"
alt=""></a>
- <a class="nav-item nav-link" data-toggle="tab"
href="#nav-oracle-sbt" role="tab">SBT <img src="/images/scala-logo-h16.png"
alt=""></a>
- </div>
- </nav>
- <div class="tab-content">
- <div class="tab-pane fade show active" id="nav-oracle-maven"
role="tabpanel">
- <pre class="brush: xml, highlight: 4">
- <dependency>
- <groupId>org.oracle</groupId>
- <artifactId>ojdbc14</artifactId>
- <version>10.2.0.4.0</version>
- </dependency>
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-oracle-grape" role="tabpanel">
- <pre class="brush: java">
- @Grab ('org.oracle:ojdbc14:10.2.0.4.0')
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-oracle-gradle" role="tabpanel">
- <pre class="brush: java">
- dependencies {
- runtime group: 'org.oracle', name: 'ojdbc14', version:
'10.2.0.4.0'
- }
- </pre>
- </div>
- <div class="tab-pane fade" id="nav-oracle-sbt" role="tabpanel">
- <pre class="brush: scala">
- libraryDependencies += "org.oracle" % "ojdbc14" %
"10.2.0.4.0"
- </pre>
- </div>
- </div>
- <p>
- Comments:
- </p>
- <ul>
- <li>
- Make sure to change <code>10.2.0.4.0</code> version to the
latest or required one.
- </li>
- <li>
- Update configuration property
<code>nlpcraft.server.database.jdbc</code>
- with required JDBC driver class and JDBC URL.
- </li>
- <li>
- Use scripts from <code>sql/oracle</code> folder to create
database and initialize DB schema.
- </li>
- </ul>
- </section>
- <section>
- <img id="gridgain" class="img-title" src="/images/gridgain-logo.png"
width="200px" alt="">
- <p>
- NLPCraft server is running on top of <a target="_"
href="https://ignite.apache.org/";>Apache Ignite</a>.
- <a target="_" href="https://www.gridgain.com/";>GridGain
Systems</a> develops enterprise in-memory computing
- platform that is based on Apache Ignite. GridGain also develops
the <a target="_"
href="https://www.gridgain.com/products/software/control-center";>GridGain
Control Center</a> that support Apache Ignite
- and is available for free for Apache Ignite users. In order to use
GridGain Control Center to manage and monitor
- NLPCraft server internals you need to have <a target="_"
href="https://www.gridgain.com/resources/download#controlcenter";>GridGain Web
Agent</a> installed and available on the classpath for NLPCraft server.
- </p>
- <p>
- NLPCraft <code>pom.xml</code> comes with necessary dependencies
that are located in a separate
- <code>gridgain-agent</code> Maven profile. To enable GridGain Web
Agent you need to manually enable this Maven profile
- when building NLPCraft from source code.
- </p>
- <div class="bq warn">
- <p><b>GridGain Control Center</b></p>
- <p>
- Note that GridGain Control Center is a commercial software
with free access for Apache Ignite. Its integration is not included
- into standard Apache NLPCraft release. You need to manually
enable the special <code>gridgain-agent</code>
- Maven profile or <a target="_"
href="https://www.gridgain.com/resources/download#controlcenter";>download</a>
and install GridGain Web Agent manually.
- </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="#nlpcraft">NLPCraft</a></li>
- <li><a href="#opennlp">OpenNLP</a></li>
- <li><a href="#google">Google</a></li>
- <li><a href="#stanford">Stanford CoreNLP</a></li>
- <li><a href="#spacy">spaCy</a></li>
- <li><a href="#mysql">MySQL</a></li>
- <li><a href="#postgres">PostgreSQL</a></li>
- <li><a href="#oracle">Oracle</a></li>
- <li><a href="#gridgain">GridGain</a></li>
- {% include quick-links.html %}
- </ul>
-</div>
-
-
-
-
