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| <div class="sectionTable"> |
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| <a name="UIMA Components"><h1><img src="images/UIMA_4sq50tightCropSolid.png"/> UIMA Components</h1></a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="sectionBody"> |
| <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| Similarly, if any of the content is out of date or inappropriate, please let us know.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> |
| <ul> |
| <li><a href='#Apache cTAKES'> |
| Apache cTAKES |
| |
| </a></li> |
| <li><a href='#Apache OpenNLP'> |
| Apache OpenNLP |
| |
| </a></li> |
| <li><a href='#Behemoth'> |
| Behemoth |
| |
| </a></li> |
| <li><a href='#BioNLP Wrappers'> |
| BioNLP Wrappers |
| |
| </a></li> |
| <li><a href='#ClearTK'> |
| ClearTK |
| |
| </a></li> |
| <li><a href='#DKPro Core'> |
| DKPro Core |
| |
| </a></li> |
| <li><a href='#DKPro Text Classification'> |
| DKPro Text Classification |
| |
| </a></li> |
| <li><a href='#JCoRe NLP Toolsuite'> |
| JCoRe NLP Toolsuite |
| |
| </a></li> |
| <li><a href='#National Centre for Text Mining (NaCTeM)'> |
| National Centre for Text Mining (NaCTeM) |
| |
| </a></li> |
| <li><a href='#u-compare'> |
| u-compare |
| |
| </a></li> |
| <li><a href='#uimaFIT (legacy)'> |
| uimaFIT (legacy) |
| |
| </a></li> |
| <li><a href='#UIMA French portal'> |
| UIMA French portal |
| |
| </a></li> |
| </ul> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="Apache cTAKES"> |
| <h2>Apache cTAKES |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="Apache OpenNLP"> |
| <h2>Apache OpenNLP |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="Behemoth"> |
| <h2>Behemoth |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="BioNLP Wrappers"> |
| <h2>BioNLP Wrappers |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="ClearTK"> |
| <h2>ClearTK |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="DKPro Core"> |
| <h2>DKPro Core |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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="../uimafit.html">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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="DKPro Text Classification"> |
| <h2>DKPro Text Classification |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="JCoRe NLP Toolsuite"> |
| <h2>JCoRe NLP Toolsuite |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="National Centre for Text Mining (NaCTeM)"> |
| <h2>National Centre for Text Mining (NaCTeM) |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="u-compare"> |
| <h2>u-compare |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="uimaFIT (legacy)"> |
| <h2>uimaFIT (legacy) |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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="../uimafit.html">Apache uimaFIT™</a> supersedes this project.</p> |
| </blockquote> |
| </td></tr> |
| </table> |
| <table class="subsectionTable"> |
| <tr><td> |
| |
| |
| |
| <a name="UIMA French portal"> |
| <h2>UIMA French portal |
| </h2> |
| </a> |
| </td></tr> |
| <tr><td> |
| <blockquote class="subsectionBody"> |
| <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> |
| </blockquote> |
| </td></tr> |
| </table> |
| </blockquote> |
| </p> |
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