DKPro Similarity: An Open Source Framework for Text Similarity

We present DKPro Similarity, 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. DKPro Similarity comprises a wide variety of measures ranging from ones based on simple n-grams and common subsequences to high-dimensional vector comparisons and structural, stylistic, and phonetic measures. In order to promote the reproducibility of experimental results and to provide reliable, permanent experimental conditions for future studies, DKPro Similarity additionally comes with a set of full-featured experimental setups which can be run out-of-the-box and be used for future systems to built upon.

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Conference:
51st Annual Meeting of the Association for Computational Linguistics, August 4-9, 2013 Sofia, Bulgaria
Date Issued:
2013
URN:
urn:nbn:de:hbz:464-20211027-132721-5
DOI:
10.17185/duepublico/72181
Language:
English
Type of Resource:
Text
Collection:
E-Publications
Subject categories of the Deutsche Nationalbibliografie:
004 Data processing Computer sciences
URL:
https://aclanthology.org/P13-4021
Hosting institution:
Faculty of Engineering, Computer Science and Applied Cognitive Science, Computer Science, Language Technology Lab
accrual policy:
Bär, D., Zesch, T., Gurevych, I. (2013): DKPro Similarity: An Open Source Framework for Text Similarity. In: Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pp. 121–126. Association for Computational Linguistics. https://aclanthology.org/P13-4021

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