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Autor:
Baer, Daniel; Zesch, Torsten; Gurevych, Iryna:

Titel:
DKPro Similarity
An open source framework for text similarity

Quelle:
In: Association for Computational Linguistics (Hrsg.): 51st annual meeting of the Association for Computational Linguistics Stroudsburg, PA : Association for Computational Linguistics (2013) , 121-126

URL des Volltextes:
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.386.1725&rep=rep1&type=pdf#page=49pdf

Sprache:
Englisch

Dokumenttyp:
4. Beiträge in Sammelwerken; Tagungsband/Konferenzbeitrag/Proceedings

Schlagwörter:
Analyse, Computerlinguistik, Messung, Software, Text, Vergleich


Abstract(original):
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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zuletzt verändert: 11.11.2016