xdocs/external-resources.xml - uima-site - Git at Google

 <?xml version="1.0" encoding="ISO-8859-1"?>
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 Licensed to the Apache Software Foundation (ASF) under one
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 regarding copyright ownership.  The ASF licenses this file
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 software distributed under the License is distributed on an
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 <document>

 <properties>
 <title>Apache UIMA Resources on the Web</title>
 <author email="dev@uima.apache.org">
  Apache UIMA Documentation Team</author>
 </properties>

 <body>

 <section name="UIMA Components">

 <p>
 Here are some links to Apache UIMA&#0153; components available from other places. If you find other
 links that you think should be listed here, please drop us a line on our dev or user mailing lists.
 Similarly, if any of the content is out of date or inappropriate, please let us know.
 </p>

 <subsectionToc/>

 <subsection name="Apache cTAKES">
 <p>The <a href="https://ctakes.apache.org">cTAKES</a>
 project
 (clinical Text Analysis and Knowledge Extraction System)
 is an open-source natural language processing system for
 information extraction from electronic medical record
 clinical free-text.
 cTAKES uses the UIMA Unstructured Information Management Architecture
 framework and the OpenNLP natural language processing toolkit.
 Its components are specifically trained for the (English language)
 clinical domain;  it creates rich linguistic and semantic annotations that
 can be used by clinical decision support systems and clinical research.
 </p>
 </subsection>

 <subsection name="Apache OpenNLP">
 <p>The <a href="https://opennlp.apache.org/">OpenNLP Project</a> provides the
 official UIMA integration for the OpenNLP Sentence Detector, Tokenizer, POS Tagger,
 Name Finder, Document Categorizer, Chunker and Parser.
 The opennlp.uima distribution includes a sample PEAR which can easily be tested with the Cas Visual Debugger.
 </p>
 </subsection>

 <subsection name="Behemoth">
 <p><a href="https://github.com/DigitalPebble/behemoth" target="_blank" rel="noopener">Behemoth</a> is an Apache Licensed open source
 platform for large scale document processing which allows deploying UIMA applications
 within Hadoop.
 </p>
 </subsection>

 <subsection name="BioNLP Wrappers">
 <p>The <a href="https://compbio.ucdenver.edu/Hunter_lab/" target="_blank" rel="noopener">
   Center for Computational Pharmacology</a> at the University of Colorodo
   has wrapped a number of popular bio-informatic annotators as UIMA components, and
   added some supporting additional code and components.  More information is available
   at <a href="https://bionlp-uima.sourceforge.net" target="_blank" rel="noopener">https://bionlp-uima.sourceforge.net</a>.
 </p>
 </subsection>

 <subsection name="ClearTK">
 <p><a href="https://cleartk.github.io/cleartk/"  target="_blank" rel="noopener">ClearTK</a> is a framework for developing machine
 learning and natural language processing components within the Apache UIMA.
 </p>
 </subsection>

 <subsection name="DKPro Core">
 <p><a href="https://dkpro.github.io/dkpro-core" target="_blank" rel="noopener">DKPro Core</a> is a collection of software components for natural language
 processing (NLP) based on the Apache UIMA framework. The provided components wrap a constantly
 growing set of stand-of-the-art NLP tools and also include several original components covering a
 wide range of tasks including: tokenization/segmentation, compound splitting, stemming,
 part-of-speech tagging, lemmatization, constituency parsing, dependency parsing,
 named entity recognition, coreference resolution, language identification,
 spelling correction, grammar checking, and  support for reading and writing various
 file and corpus formats.
 </p>
 <p>
 DKPro Core relies heavily on <a href="https://github.com/apache/uima-uimafit">uimaFIT</a>. DKPro Core is meant to be used with Apache Maven. The main components
 are hosted on <a href="https://search.maven.org/#search%7Cga%7C1%7Cde.tudarmstadt.ukp.dkpro.core"
 target="_blank" rel="noopener">Maven Central</a> while distributable models are available from the
 public <a href="https://zoidberg.ukp.informatik.tu-darmstadt.de/artifactory/simple/public-model-releases-local/de/tudarmstadt/ukp/dkpro/core/"
 target="_blank" rel="noopener">Maven repository</a> at <a href="https://www.ukp.tu-darmstadt.de">Ubiquitous Knowledge Processing (UKP) Lab</a>, TU Darmstadt.
 </p>
 </subsection>

 <subsection name="DKPro Text Classification">
 <p><a href="https://dkpro.github.io/dkpro-tc/">DKPro TC</a> is a UIMA-based text classification framework built on top of DKPro Core, DKPro Lab and the Weka Machine Learning Toolkit. It is intended to alleviate supervised machine learning experiments with any kind of textual data.</p>
 </subsection>

 <subsection name="JCoRe NLP Toolsuite">
 <p>The <a href="https://www.julielab.de/Resources/JCoRe+NLP+Tools.html" target="_blank" rel="noopener">JCoRe NLP Toolsuite</a>
 consists of a collection of NLP components, some of which are provided as freely available
 UIMA components.  It includes also a
 <a href="https://www.julielab.de/Resources/Software/UIMA+type+system-p-91.html" target="_blank" rel="noopener">type system</a>
 you can use as basis for your own NLP applications.
 </p>
 </subsection>

 <subsection name="National Centre for Text Mining (NaCTeM)">
   <p>
     The <a href="https://www.nactem.ac.uk/" target="_blank" rel="noopener">
   National Centre for Text Mining (NaCTeM)</a> at the University
 of Manchester hosts a <a href="https://www.nactem.ac.uk/uima_work/" target="_blank" rel="noopener">repository</a>.
   </p>
 </subsection>

 <subsection name="u-compare">
   <p>
     <a href="https://nactem.ac.uk/ucompare" target="_blank" rel="noopener"><b>https://nactem.ac.uk/ucompare</b></a> provides
     a web-based integrated platform for the purpose of
     sharing and comparing UIMA components and tools, including visualizers and
 utilities, and includes a large set of type-system-compatible UIMA components.
     It is being maintained by the National Centre for Text Mining (NaCTeM) at the University of Manchester.
   </p>
   <p>
     An older version of this site, available at
     <a href="https://u-compare.org">https://u-compare.org</a>, was run mainly by the Tsujii Laboratory at the University of Tokyo.
     Because the Tsujii lab was closed in 2011, that site is no longer
     being updated.
   </p>
 </subsection>

 <subsection name="uimaFIT (legacy)">
 <p><a href="https://code.google.com/p/uimafit" target="_blank" rel="noopener">
 uimaFIT (legacy)</a>
 is a library that provides factories, injection,
 and testing utilities for UIMA. It provides a convenient Java API
 for using UIMA in Java projects without having to deal with XML descriptors.
 </p><p><a href="https://github.com/apache/uima-uimafit">Apache uimaFIT&#0153;</a> supersedes this project.</p>
 </subsection>

 <subsection name="UIMA French portal">
 <p><a href="https://www.uima-fr.org" target="_blank" rel="noopener">uima-fr.org</a>
 is a French-speaking web portal
 about UIMA. It aims at developing a UIMA French-speaking community by
 providing services such as a discussion list, a feed aggregator and a
 repository of UIMA NLP resources (some of them being dedicated for
 processing French). It is supported by the LINA Lab. at the University
 of Nantes.
 </p>
 </subsection>

 <!--  appears to be not found as of 5/2015
 <subsection name="UIMA Component Repository at CMU">

 <p> The <a href="https://uima.lti.cs.cmu.edu/" target="_blank" rel="noopener">UIMA Component Repository at CMU</a> lists
 a large number of UIMA components, some of which can be freely downloaded.
 </p>
 </subsection>
 -->

 <!-- Redundant with BioNLP  - hence removed 09/2015
 <subsection name="Center for Computation Pharmacology">
   <p>
     The <a href="https://compbio.ucdenver.edu/Hunter_lab/" target="_blank" rel="noopener">
   Center for Computational Pharmacology</a> at the University of Colorado School of
 Medicine hosts a <a href="https://bionlp-uima.sourceforge.net/" target="_blank" rel="noopener">repository</a> (see BioNLP entry,
 which describes this in more detail).
   </p>
 </subsection>
 -->

 <!-- removed 12/2010 at request of Digitalpebble (Julian Nioche) - says they're not supporting
 subsection name="RASP4UIMA">

 <p><a href="https://www.digitalpebble.com/rasp4uima/index.html">RASP4UIMA</a> is a UIMA wrapper around

 the <a href="https://www.informatics.susx.ac.uk/research/groups/nlp/rasp/index.html">RASP</a>

 system, a parsing system for English.  RASP is free for research and education.  Download RASP4UIMA

 from <a href="https://www.digitalpebble.com/resources.html">the resource page</a> at

 <a href="https://www.digitalpebble.com/">digitalpebble.com</a>

 </p>

 </subsection-->

 </section>

 <!-- removed 5/2012 - alphaworks no longer there
 <section name="UIMA Applications">

 <subsection name="IBM Semantic Search Package">
 <p>IBM provides a freely available <a href="https://www.alphaworks.ibm.com/tech/uima/download">
 Semantic Search for Apache UIMA</a>.
 </p>
 </subsection>

 </section>
  -->

 </body>
 </document>
	<?xml version="1.0" encoding="ISO-8859-1"?>
	<!--
	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

	https://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.
	-->
	<document>

	<properties>
	<title>Apache UIMA Resources on the Web</title>
	<author email="dev@uima.apache.org">
	Apache UIMA Documentation Team</author>
	</properties>

	<body>

	<section name="UIMA Components">

	<p>
	Here are some links to Apache UIMA components available from other places. If you find other
	links that you think should be listed here, please drop us a line on our dev or user mailing lists.
	Similarly, if any of the content is out of date or inappropriate, please let us know.
	</p>

	<subsectionToc/>

	<subsection name="Apache cTAKES">
	<p>The <a href="https://ctakes.apache.org">cTAKES</a>
	project
	(clinical Text Analysis and Knowledge Extraction System)
	is an open-source natural language processing system for
	information extraction from electronic medical record
	clinical free-text.
	cTAKES uses the UIMA Unstructured Information Management Architecture
	framework and the OpenNLP natural language processing toolkit.
	Its components are specifically trained for the (English language)
	clinical domain; it creates rich linguistic and semantic annotations that
	can be used by clinical decision support systems and clinical research.
	</p>
	</subsection>

	<subsection name="Apache OpenNLP">
	<p>The <a href="https://opennlp.apache.org/">OpenNLP Project</a> provides the
	official UIMA integration for the OpenNLP Sentence Detector, Tokenizer, POS Tagger,
	Name Finder, Document Categorizer, Chunker and Parser.
	The opennlp.uima distribution includes a sample PEAR which can easily be tested with the Cas Visual Debugger.
	</p>
	</subsection>

	<subsection name="Behemoth">
	<p><a href="https://github.com/DigitalPebble/behemoth" target="_blank" rel="noopener">Behemoth</a> is an Apache Licensed open source
	platform for large scale document processing which allows deploying UIMA applications
	within Hadoop.
	</p>
	</subsection>

	<subsection name="BioNLP Wrappers">
	<p>The <a href="https://compbio.ucdenver.edu/Hunter_lab/" target="_blank" rel="noopener">
	Center for Computational Pharmacology</a> at the University of Colorodo
	has wrapped a number of popular bio-informatic annotators as UIMA components, and
	added some supporting additional code and components. More information is available
	at <a href="https://bionlp-uima.sourceforge.net" target="_blank" rel="noopener">https://bionlp-uima.sourceforge.net</a>.
	</p>
	</subsection>

	<subsection name="ClearTK">
	<p><a href="https://cleartk.github.io/cleartk/" target="_blank" rel="noopener">ClearTK</a> is a framework for developing machine
	learning and natural language processing components within the Apache UIMA.
	</p>
	</subsection>

	<subsection name="DKPro Core">
	<p><a href="https://dkpro.github.io/dkpro-core" target="_blank" rel="noopener">DKPro Core</a> is a collection of software components for natural language
	processing (NLP) based on the Apache UIMA framework. The provided components wrap a constantly
	growing set of stand-of-the-art NLP tools and also include several original components covering a
	wide range of tasks including: tokenization/segmentation, compound splitting, stemming,
	part-of-speech tagging, lemmatization, constituency parsing, dependency parsing,
	named entity recognition, coreference resolution, language identification,
	spelling correction, grammar checking, and support for reading and writing various
	file and corpus formats.
	</p>
	<p>
	DKPro Core relies heavily on <a href="https://github.com/apache/uima-uimafit">uimaFIT</a>. DKPro Core is meant to be used with Apache Maven. The main components
	are hosted on <a href="https://search.maven.org/#search%7Cga%7C1%7Cde.tudarmstadt.ukp.dkpro.core"
	target="_blank" rel="noopener">Maven Central</a> while distributable models are available from the
	public <a href="https://zoidberg.ukp.informatik.tu-darmstadt.de/artifactory/simple/public-model-releases-local/de/tudarmstadt/ukp/dkpro/core/"
	target="_blank" rel="noopener">Maven repository</a> at <a href="https://www.ukp.tu-darmstadt.de">Ubiquitous Knowledge Processing (UKP) Lab</a>, TU Darmstadt.
	</p>
	</subsection>

	<subsection name="DKPro Text Classification">
	<p><a href="https://dkpro.github.io/dkpro-tc/">DKPro TC</a> is a UIMA-based text classification framework built on top of DKPro Core, DKPro Lab and the Weka Machine Learning Toolkit. It is intended to alleviate supervised machine learning experiments with any kind of textual data.</p>
	</subsection>

	<subsection name="JCoRe NLP Toolsuite">
	<p>The <a href="https://www.julielab.de/Resources/JCoRe+NLP+Tools.html" target="_blank" rel="noopener">JCoRe NLP Toolsuite</a>
	consists of a collection of NLP components, some of which are provided as freely available
	UIMA components. It includes also a
	<a href="https://www.julielab.de/Resources/Software/UIMA+type+system-p-91.html" target="_blank" rel="noopener">type system</a>
	you can use as basis for your own NLP applications.
	</p>
	</subsection>

	<subsection name="National Centre for Text Mining (NaCTeM)">
	<p>
	The <a href="https://www.nactem.ac.uk/" target="_blank" rel="noopener">
	National Centre for Text Mining (NaCTeM)</a> at the University
	of Manchester hosts a <a href="https://www.nactem.ac.uk/uima_work/" target="_blank" rel="noopener">repository</a>.
	</p>
	</subsection>

	<subsection name="u-compare">
	<p>
	<a href="https://nactem.ac.uk/ucompare" target="_blank" rel="noopener"><b>https://nactem.ac.uk/ucompare</b></a> provides
	a web-based integrated platform for the purpose of
	sharing and comparing UIMA components and tools, including visualizers and
	utilities, and includes a large set of type-system-compatible UIMA components.
	It is being maintained by the National Centre for Text Mining (NaCTeM) at the University of Manchester.
	</p>
	<p>
	An older version of this site, available at
	<a href="https://u-compare.org">https://u-compare.org</a>, was run mainly by the Tsujii Laboratory at the University of Tokyo.
	Because the Tsujii lab was closed in 2011, that site is no longer
	being updated.
	</p>
	</subsection>

	<subsection name="uimaFIT (legacy)">
	<p><a href="https://code.google.com/p/uimafit" target="_blank" rel="noopener">
	uimaFIT (legacy)</a>
	is a library that provides factories, injection,
	and testing utilities for UIMA. It provides a convenient Java API
	for using UIMA in Java projects without having to deal with XML descriptors.
	</p><p><a href="https://github.com/apache/uima-uimafit">Apache uimaFIT</a> supersedes this project.</p>
	</subsection>

	<subsection name="UIMA French portal">
	<p><a href="https://www.uima-fr.org" target="_blank" rel="noopener">uima-fr.org</a>
	is a French-speaking web portal
	about UIMA. It aims at developing a UIMA French-speaking community by
	providing services such as a discussion list, a feed aggregator and a
	repository of UIMA NLP resources (some of them being dedicated for
	processing French). It is supported by the LINA Lab. at the University
	of Nantes.
	</p>
	</subsection>

	<!-- appears to be not found as of 5/2015
	<subsection name="UIMA Component Repository at CMU">

	<p> The <a href="https://uima.lti.cs.cmu.edu/" target="_blank" rel="noopener">UIMA Component Repository at CMU</a> lists
	a large number of UIMA components, some of which can be freely downloaded.
	</p>
	</subsection>
	-->

	<!-- Redundant with BioNLP - hence removed 09/2015
	<subsection name="Center for Computation Pharmacology">
	<p>
	The <a href="https://compbio.ucdenver.edu/Hunter_lab/" target="_blank" rel="noopener">
	Center for Computational Pharmacology</a> at the University of Colorado School of
	Medicine hosts a <a href="https://bionlp-uima.sourceforge.net/" target="_blank" rel="noopener">repository</a> (see BioNLP entry,
	which describes this in more detail).
	</p>
	</subsection>
	-->

	<!-- removed 12/2010 at request of Digitalpebble (Julian Nioche) - says they're not supporting
	subsection name="RASP4UIMA">

	<p><a href="https://www.digitalpebble.com/rasp4uima/index.html">RASP4UIMA</a> is a UIMA wrapper around

	the <a href="https://www.informatics.susx.ac.uk/research/groups/nlp/rasp/index.html">RASP</a>

	system, a parsing system for English. RASP is free for research and education. Download RASP4UIMA

	from <a href="https://www.digitalpebble.com/resources.html">the resource page</a> at

	<a href="https://www.digitalpebble.com/">digitalpebble.com</a>

	</p>

	</subsection-->

	</section>

	<!-- removed 5/2012 - alphaworks no longer there
	<section name="UIMA Applications">

	<subsection name="IBM Semantic Search Package">
	<p>IBM provides a freely available <a href="https://www.alphaworks.ibm.com/tech/uima/download">
	Semantic Search for Apache UIMA</a>.
	</p>
	</subsection>

	</section>
	-->

	</body>
	</document>