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

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Authors

External Research Organisations

  • University of Bonn
  • Fraunhofer Institute for Intelligent Analysis and Information Systems (IAIS)
  • German National Library of Science and Technology (TIB)
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Details

Original languageEnglish
Title of host publicationSemantics2017
Subtitle of host publicationProceedings of the 13th International Conference on Semantic Systems
EditorsRinke Hoekstra, Victor de Boer, Tassilo Pellegrini, Rinke Hoekstra, Catherine Faron-Zucker
PublisherAssociation for Computing Machinery (ACM)
Pages144-151
Number of pages8
ISBN (electronic)9781450352963
Publication statusPublished - 11 Sept 2017
Event13th International Conference on Semantic Systems, SEMANTiCS 2017 - Amsterdam, Netherlands
Duration: 12 Sept 201713 Sept 2017

Keywords

    Clustering, Distributional Approach, End-User License Agreements, EULA, Semantic Similarity, Word Embeddings

ASJC Scopus subject areas

Cite this

Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. / Nejad, Najmeh Mousavi; Scerri, Simon; Auer, Sören.
Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. ed. / Rinke Hoekstra; Victor de Boer; Tassilo Pellegrini; Rinke Hoekstra; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. p. 144-151.

Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

Nejad, NM, Scerri, S & Auer, S 2017, Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. in R Hoekstra, V de Boer, T Pellegrini, R Hoekstra & C Faron-Zucker (eds), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM), pp. 144-151, 13th International Conference on Semantic Systems, SEMANTiCS 2017, Amsterdam, Netherlands, 12 Sept 2017. https://doi.org/10.1145/3132218.3132224
Nejad, N. M., Scerri, S., & Auer, S. (2017). Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. In R. Hoekstra, V. de Boer, T. Pellegrini, R. Hoekstra, & C. Faron-Zucker (Eds.), Semantics2017: Proceedings of the 13th International Conference on Semantic Systems (pp. 144-151). Association for Computing Machinery (ACM). https://doi.org/10.1145/3132218.3132224
Nejad NM, Scerri S, Auer S. Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. In Hoekstra R, de Boer V, Pellegrini T, Hoekstra R, Faron-Zucker C, editors, Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. Association for Computing Machinery (ACM). 2017. p. 144-151 doi: 10.1145/3132218.3132224
Nejad, Najmeh Mousavi ; Scerri, Simon ; Auer, Sören. / Semantic Similarity based Clustering of License Excerpts for Improved End-User Interpretation. Semantics2017: Proceedings of the 13th International Conference on Semantic Systems. editor / Rinke Hoekstra ; Victor de Boer ; Tassilo Pellegrini ; Rinke Hoekstra ; Catherine Faron-Zucker. Association for Computing Machinery (ACM), 2017. pp. 144-151
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