DKPro Core

DKPro Core 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.


DKPro Core relies heavily on uimaFIT and is meant to be used with Apache Maven. The main components are hosted on Maven Central, while distributable models are available from the public Maven repository at UKP Lab.

Documentation, source code and further instructions regarding DKPro Core can found on the GitHub Project Site.

The source is code is provided under different licenses, depending on the DKPro Core component:

  • DKPro Core ASL components use the Apache Software License 2.0
  • DKPro Core GPL components use the GNU Public License 3.0


Displaying results 1 to 7 out of 15

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Automatic Analysis of Flaws in Pre-Trained NLP Models
Richard Eckart de Castilho
In: Proceedings of the Third International Workshop on Worldwide Language Service Infrastructure and Second Workshop on Open Infrastructures and Analysis Frameworks for Human Language Technologies (WLSI3nOIAF2) at COLING 2016, p. 19--27, December 2016. ISBN 978-4-87974-720-4.

Interoperability = f(community, division of labour)
Richard Eckart de Castilho
In: Proceedings of the Workshop on Cross-Platform Text Mining and Natural Language Processing Interoperability collocated with LREC 2016, p. 24--28, May 2016.

Nils Reimers,Fotis Jannidis,Steffen Pielström,Stefan Pernes,Isabella Reger
Poster presentation at DHd 2016, March 2016.

Approaches to Automatic Text Structuring
Nicolai Erbs
September 2015.

Counting What Counts: Decompounding for Keyphrase Extraction
Nicolai Erbs,Pedro Bispo Santos,Torsten Zesch,Iryna Gurevych
In: Association for Computational Linguistics: Proceedings of the ACL 2015 Workshop on Novel Computational Approaches to Keyphrase Extraction, p. 10-17, July 2015.
Technische Universität Darmstadt, 2015.

Identifying Argumentative Discourse Structures in Persuasive Essays
Christian Stab,Iryna Gurevych
In: Alessandro Moschitti and Bo Pang and Walter Daelemans: Conference on Empirical Methods in Natural Language Processing (EMNLP 2014), p. 46-56, Association for Computational Linguistics, October 2014.

A broad-coverage collection of portable NLP components for building shareable analysis pipelines
Richard Eckart de Castilho,Iryna Gurevych
In: Nancy Ide and Jens Grivolla: Proceedings of the Workshop on Open Infrastructures and Analysis Frameworks for HLT (OIAF4HLT) at COLING 2014, p. 1--11, Association for Computational Linguistics and Dublin City University , August 2014.

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