Classifying Legal Norms with Active Machine Learning
Frontiers in artificial intelligence and applications2017pp. 11–20
Citations Over TimeTop 10% of 2017 papers
Abstract
This paper describes an extended machine learning approach to classify legal norms in German statutory texts. We implemented an active machine learning (AML) framework based on open-source software. Within the paper we discuss different query strategies to optimize the selection of instances during the learning phase to decrease the required training data.
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