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LexNLP is an open source Python package focused on natural language processing and machine learning for legal and regulatory text.
C. P. Langlotz, Radlex: a new method for indexing online educational materials, 2006
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The WEKA data mining software: an update,
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Software Framework for Topic Modelling with Large Corpora,
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Scikit-learn: Machine learning in Python,
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Efficient estimation of word representations in vector space,
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Distributed representations of sentences and documents,
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Harnessing legal complexity,
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ApacheOpenNLP, A machine learning based toolkit for the processing of natural language text, 2018. http://opennlp.apache.org
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O. H. N. Consortium, Biomedical information collection and understanding system (biomedicus), 2018. https://github.com/nlpie/biomedicus
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M. Lissner, Free law reporters database, 2018. https://github.com/freelawproject/reporters-db
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Network approach to the french system of legal codes part ii: the role of the weights in a network,
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The Stanford CoreNLP natural language processing toolkit,
C. D. Manning, M. Surdeanu, J. Bauer, J. Finkel, S. J. Bethard, D. McClosky,
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API design for machine learning software: experiences from the scikit-learn project,
L. Buitinck, G. Louppe, M. Blondel, F. Pedregosa, A. Mueller, O. Grisel, V. Niculae, P. Prettenhofer, A. Gramfort, J. Grobler, R. Layton, J. VanderPlas, A. Joly, B. Holt, G. Varoquaux,
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