JarCastingDKPro
DKPro Core ASL - Examples
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.examples-aslDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.5.0
Release Date:
DKPro Core GPL - IO - TGrep2
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.io.tgrep-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.10.0
Release Date:
DKPro Core GPL - SFST
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.sfst-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.10.0
Release Date:DKPro Core ASL - Toolbox
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.toolbox-aslDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.6.2
Release Date:
dkpro-similarity-ml-core-gpl
org.dkpro.similarity : dkpro-similarity-ml-core-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:
DKPro Core ASL - IO - HTML
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.io.html-aslDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.10.0
Release Date:
DKPro Core GPL - Stanford CoreNLP Suite (v 3.9.2) - Classic API (GPL)
org.dkpro.core : dkpro-core-stanfordnlp-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
dkpro-similarity-ml-io-gpl
org.dkpro.similarity : dkpro-similarity-ml-io-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:
dkpro-similarity-uima-core-gpl
org.dkpro.similarity : dkpro-similarity-uima-core-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:
dkpro-argumentation-io
org.dkpro.argumentation : dkpro-argumentation-ioReaders for data sets used for argumentation mining
Last Version: 0.1.0
Release Date:
dkpro-argumentation-types
org.dkpro.argumentation : dkpro-argumentation-typesannotation types used for argumentation mining
Last Version: 0.1.0
Release Date:
DKPro Core GPL - ARK (v 0.3.2)
org.dkpro.core : dkpro-core-arktools-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core ASL
org.dkpro.core : dkpro-core-aslDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core GPL - Berkeley Parser
org.dkpro.core : dkpro-core-berkeleyparser-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core GPL - Stanford CoreNLP Suite (v 3.9.2) (GPL)
org.dkpro.core : dkpro-core-corenlp-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:DKPro Core GPL - IO - TGrep2
org.dkpro.core : dkpro-core-io-tgrep-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core GPL - LingPipe (v 4.1.2-JL1.0)
org.dkpro.core : dkpro-core-lingpipe-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core GPL - Mate-Tools
org.dkpro.core : dkpro-core-matetools-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core GPL - Maui (v 1.3.0)
org.dkpro.core : dkpro-core-maui-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Core GPL - SFST
org.dkpro.core : dkpro-core-sfst-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 2.2.0
Release Date:
DKPro Lab - SLF4J Support Package
org.dkpro.lab : dkpro-lab-support-slf4jDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.14.0
Release Date:
DKPro Lab - Simple UIMA Execution Engine
org.dkpro.lab : dkpro-lab-uima-engine-simpleDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.14.0
Release Date:
dkpro-similarity-algorithms-ml-gpl
org.dkpro.similarity : dkpro-similarity-algorithms-ml-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:
DKPro Core GPL - Stanford CoreNLP Suite (v 3.9.1) (GPL)
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.corenlp-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.10.0
Release Date:
DKPro Core GPL - LingPipe (v 4.1.0)
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.lingpipe-gplDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.10.0
Release Date:DKPro Lab - Simple UIMA Execution Engine
de.tudarmstadt.ukp.dkpro.lab : dkpro-lab-uima-engine-simpleDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.11.0
Release Date:
DKPro C4CorpusTools - Boilerplate removal
org.dkpro.c4corpus : dkpro-c4corpus-boilerplateParent POM for DKPro projects. This provides some basic configuration for several Maven plugins as well as useful build profiles.
Last Version: 1.0.0
Release Date:
DKPro C4CorpusTools - De-duplication
org.dkpro.c4corpus : dkpro-c4corpus-deduplicationParent POM for DKPro projects. This provides some basic configuration for several Maven plugins as well as useful build profiles.
Last Version: 1.0.0
Release Date:
DKPro C4CorpusTools - Language detection
org.dkpro.c4corpus : dkpro-c4corpus-languageParent POM for DKPro projects. This provides some basic configuration for several Maven plugins as well as useful build profiles.
Last Version: 1.0.0
Release Date:
DKPro C4CorpusTools - License detection
org.dkpro.c4corpus : dkpro-c4corpus-licenseParent POM for DKPro projects. This provides some basic configuration for several Maven plugins as well as useful build profiles.
Last Version: 1.0.0
Release Date:
DKPro C4CorpusTools - I/O for WARC files
org.dkpro.c4corpus : dkpro-c4corpus-warc-ioParent POM for DKPro projects. This provides some basic configuration for several Maven plugins as well as useful build profiles.
Last Version: 1.0.0
Release Date:
DKPro Lab - Groovy Support
org.dkpro.lab : dkpro-lab-groovyDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.14.0
Release Date:
DKPro Lab - Machine Learning - Example
org.dkpro.lab : dkpro-lab-ml-exampleDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.13.0
Release Date:
DKPro Lab - UIMA CPE Execution Engine
org.dkpro.lab : dkpro-lab-uima-engine-cpeDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.14.0
Release Date:
DKPro Lab - UIMA AS Execution Engine (experimental)
org.dkpro.lab : dkpro-lab-uima-engine-uimaasDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.13.0
Release Date:
dkpro-similarity-algorithms-lexsub-gpl
org.dkpro.similarity : dkpro-similarity-algorithms-lexsub-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:
dkpro-similarity-algorithms-sspace-gpl
org.dkpro.similarity : dkpro-similarity-algorithms-sspace-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:
DKPro Similarity GPL
org.dkpro.similarity : dkpro-similarity-gplDKPro Similarity is an open source framework for text similarity. Our goal is to provide a comprehensive repository of text similarity measures which are implemented using standardized interfaces. The framework is designed to complement DKPro Core, a collection of software components for natural language processing based on the Apache UIMA framework.
Last Version: 2.3.0
Release Date:de.tudarmstadt.ukp.dkpro.bigdata.io.hadoop
de.tudarmstadt.ukp.dkpro.bigdata : de.tudarmstadt.ukp.dkpro.bigdata.io.hadoopDKPro BigData enables the easy execution of UIMA-based natural language processing pipelines on a hadoop cluster.
Last Version: 0.1.0
Release Date:DKPro Lab - Groovy Support
de.tudarmstadt.ukp.dkpro.lab : dkpro-lab-groovyDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.11.0
Release Date:DKPro Lab - Machine Learning - Example
de.tudarmstadt.ukp.dkpro.lab : dkpro-lab-ml-exampleDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.11.0
Release Date:DKPro Lab - SLF4J Support Package
de.tudarmstadt.ukp.dkpro.lab : dkpro-lab-support-slf4jDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.11.0
Release Date:DKPro Lab - UIMA CPE Execution Engine
de.tudarmstadt.ukp.dkpro.lab : dkpro-lab-uima-engine-cpeDKPro Lab is a lightweight framework for parameter sweeping experiments. It allows to set up experiments consisting of multiple interdependent tasks in a declarative manner with minimal overhead. Parameters are injected into tasks using via annotated class fields. Data produced by a task for any particular parameter configuration is stored and re-used whenever possible to avoid the needless recalculation of results. Reports can be attached to each task to post-process the experimental results and present them in a convenient manner, e.g. as tables or charts.
Last Version: 0.11.0
Release Date:
dkpro-argumentation-fastutil
org.dkpro.argumentation : dkpro-argumentation-fastutilExtension classes to classes from fastutil especially used for data mining/NLP tasks.
Last Version: 0.1.0
Release Date:
dkpro-argumentation-misc
org.dkpro.argumentation : dkpro-argumentation-miscA general Java framework for argumentation mining
Last Version: 0.1.0
Release Date:
de.tudarmstadt.ukp.dkpro.argumentation.io
de.tudarmstadt.ukp.dkpro.argumentation.io : de.tudarmstadt.ukp.dkpro.argumentation.ioReaders for data sets used for argumentation mining
Last Version: 0.0.2
Release Date:
de.tudarmstadt.ukp.dkpro.argumentation.types
de.tudarmstadt.ukp.dkpro.argumentation.types : de.tudarmstadt.ukp.dkpro.argumentation.typesannotation types used for argumentation mining
Last Version: 0.0.2
Release Date:DKPro bigdata - Run Pipelines on Hadoop
de.tudarmstadt.ukp.dkpro.bigdata : de.tudarmstadt.ukp.dkpro.bigdata.hadoopDKPro BigData enables the easy execution of UIMA-based natural language processing pipelines on a hadoop cluster.
Last Version: 0.1.0
Release Date:DKPro Core ASL - LangDect
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.langdect-aslDKPro Core is a collection of software components for natural language processing (NLP) based on the Apache UIMA framework.
Last Version: 1.6.2
Release Date:DKPro Core ASL - Umlaut normalizer
de.tudarmstadt.ukp.dkpro.core : de.tudarmstadt.ukp.dkpro.core.umlautnormalizer-aslTakes a text and checks for umlauts written as "ae", "oe", or "ue" and normalizes them if they really are umlauts depending on a frequency model.
Last Version: 1.6.2
Release Date: