Proceedings of 52nd Annual Meeting of the Association for Computational Linguistics: System Demonstrations 2014
DOI: 10.3115/v1/p14-5006
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DKPro Keyphrases: Flexible and Reusable Keyphrase Extraction Experiments

Abstract: DKPro Keyphrases is a keyphrase extraction framework based on UIMA. It offers a wide range of state-of-the-art keyphrase experiments approaches. At the same time, it is a workbench for developing new extraction approaches and evaluating their impact. DKPro Keyphrases is publicly available under an open-source license. 1 33 Dimension.create("evalType", EvaluatorType.Lemma), 34); 35 36 Task preprocessingTask = new PreprocessingTask(); 37 Task filteringTask = new KeyphraseFilteringTask(); 38 candidateSelectionTas… Show more

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Cited by 5 publications
(2 citation statements)
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“…Since reuse in software development employs code (i.e., objects) as units of analysis, reuse in Wikipedia should conversely employ individual key concepts or key phrases expressed in Wikipedia articles as the units of analysis. However, unlike in the case of software development where the code is automatically compiled, the automatic recognition of domain-specific key concepts or phrases from natural language text is not a trivial task in the case of Wikipedia (Boudin & Morin, 2013;Erbs, Santos, Gurevych, & Zesch, 2014). Thus, we decided to measure knowledge reuse in Wikipedia articles at the word level.…”
Section: Knowledge Reusementioning
confidence: 99%
“…Since reuse in software development employs code (i.e., objects) as units of analysis, reuse in Wikipedia should conversely employ individual key concepts or key phrases expressed in Wikipedia articles as the units of analysis. However, unlike in the case of software development where the code is automatically compiled, the automatic recognition of domain-specific key concepts or phrases from natural language text is not a trivial task in the case of Wikipedia (Boudin & Morin, 2013;Erbs, Santos, Gurevych, & Zesch, 2014). Thus, we decided to measure knowledge reuse in Wikipedia articles at the word level.…”
Section: Knowledge Reusementioning
confidence: 99%
“…2 The extraction systems known from literature were evaluated against gold standard data, e.g. DKPro Keyphrases (Erbs et al, 2014), Relation-Factory (Roth et al, 2014), KELVIN (McNamee et al, 2013), Propminer (Akbik et al, 2013), OL-LIE (Mausam et al, 2012). We name this type of evaluation as academic one.…”
Section: Introductionmentioning
confidence: 99%