DKPro Similarity

DKPro Similarity is an open source software package for developing text similarity algorithms. The framework is designed to complement DKPro Core, a collection of software components for natural language processing (NLP) based on the Apache UIMA framework. By leveraging the power of the tools available in DKPro Core, it allows for a rich set of similarity computation operations, including the design of full-fledged language processing pipelines and fully customizable processing steps.


DKPro Similarity is maintained on GitHUb:


Displaying results 1 to 7 out of 10

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Approaches to Automatic Text Structuring
Nicolai Erbs
September 2015.

Composing Measures for Computing Text Similarity
Daniel Bär,Torsten Zesch,Iryna Gurevych
January 2015.

A Composite Model for Computing Similarity Between Texts
Daniel Bär
October 2013.

DKPro Similarity: An Open Source Framework for Text Similarity
Daniel Bär,Torsten Zesch,Iryna Gurevych
In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (System Demonstrations) (ACL 2013), p. 121-126, Association for Computational Linguistics, August 2013.

UKP-BIU: Similarity and Entailment Metrics for Student Response Analysis
Torsten Zesch,Omer Levy,Iryna Gurevych,Ido Dagan
In: Proceedings of the 7th International Workshop on Semantic Evaluation (SemEval 2013), in conjunction with the 2nd Joint Conference on Lexical and Computational Semantics (*SEM 2013), vol. 2, p. 285-289, Association for Computational Linguistics, June 2013. ISBN 978-1-937284-49-7.

Text Reuse Detection Using a Composition of Text Similarity Measures
Daniel Bär,Torsten Zesch,Iryna Gurevych
In: Proceedings of the 24th International Conference on Computational Linguistics (COLING 2012), p. 167-184, December 2012.

Evaluation of a Layered Approach to Question Answering over Linked Data
Sebastian Walter,Christina Unger,Philipp Cimiano,Daniel Bär
In: Proceedings of the 11th International Semantic Web Conference, p. 362-374, November 2012.

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