Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation - researchr publication authors

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Najmeh Mousavi Nejad, Simon Scerri, Sören Auer. Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. In Rinke Hoekstra, Catherine Faron-Zucker, Tassilo Pellegrini, Victor de Boer, editors, Proceedings of the 13th International Conference on Semantic Systems, SEMANTICS 2017, Amsterdam, The Netherlands, September 11-14, 2017. pages 144-151, ACM, 2017. [doi]

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