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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.
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DKPro Similarity is maintained on Google Code:
DKPro Similarity ASLPublications
Displaying results 1 to 5 out of 5
| Text Reuse Detection Using a Composition of Text Similarity Measures |
| Daniel Bär and Torsten Zesch and 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 and Christina Unger and Philipp Cimiano and Daniel Bär In: Proceedings of the 11th International Semantic Web Conference, p. 362-374, November 2012. |
| UKP: Computing Semantic Textual Similarity by Combining Multiple Content Similarity Measures |
| Daniel Bär and Chris Biemann and Iryna Gurevych and Torsten Zesch In: Proceedings of the 6th International Workshop on Semantic Evaluation, held in conjunction with the 1st Joint Conference on Lexical and Computational Semantics, p. 435--440, June 2012. |
| A Reflective View on Text Similarity |
| Daniel Bär and Torsten Zesch and Iryna Gurevych In: Proceedings of the International Conference on Recent Advances in Natural Language Processing, p. 515-520, September 2011. |
| Discovering Links Using Semantic Relatedness |
| Johannes Hoffart and Daniel Bär and Torsten Zesch and Iryna Gurevych In: Shlomo Geva and Jaap Kamps and Andrew Trotman: INEX 2009 Workshop Preproceedings, p. 314--325, December 2009. |
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