Kim MY, Xu Y, Goebel R (2013) Summary of legal texts with high cohesion and automatic compression ratio. In: New frontiers in artificial intelligence, Springer, pp. 190-204 Since the late 50s and Luhn [Luh58], the information community has expressed interest in synthesizing texts. The fields of application of these methods are innumerable and range from news summaries [W L03, BM05, ROWBG05] to abstracts of scientific articles on [TM 02] to session summaries [NPDP05, ELH+ 03]. Krishna R, Kumar SP, Reddy CS (2013) A hybrid method for a query-based automatic summary system. Int J Comput Appl 68:39–43 Das D, Martins AF (2007) A survey on automatic text summarization. Bed Surv Lang Stat II Course CMU 4:192–195 Ferreira R, Freitas F, de Souza Cabral L, Dueire Lins R, Lima R, França G, Simskez SJ, Favaro L (2013a) A four-dimensional graphical model for automatic text summarization. In: 2013 IEEE/WIC/ACM international joint conferences on web intelligence (WI) and intelligent agent technologies (IAT), Band 1, IEEE, S. 389–396 Es werden zwei Fallstudien zu zwei verschiedenen Arten von Rechtsdokumenten vorgestellt. State of the Art Ansätze für die Textzusammenfassung im Allgemeinen werden diskutiert. Ghalehtaki RA, Khotanlou H, Esmaeilpour M (2014) A combinatorial method of fuzzy optimization and testing of particle tests and cellular learning automata for text synthesis. In: 2014 Iranian conference on intelligent systems (ICIS), IEEE, pp 1-6 Galgani F, Compton P, Hoffmann A (2012a) Citation based summarisation of legal texts.

In: PRICAI 2012: Trends in Artificial Intelligence, Springer, S. 40–52 Plaza L (2014) Comparison of different knowledge sources for the automatic summary of the biomedical literature. J Biomed Inf 52:319–328 Compton P, Jansen R (1990) Knowledge in context: a strategy for expert system maintenance. Springer, Berlin Goldstein J (1999) Automatische Textzusammenfassung mehrerer Dokumente. Dissertationsvorschlag. Carnegie Mellon University Sharma AD, Deep S (2014) Zu lange-habe keinen praktischen webbasierten Ansatz zur Textzusammenfassung gelesen. In: Applied Algorithms, Springer, S. 198–208 Hachey B, Grover C (2004b) Sentences classification experiments for legal text summarisation. In: Proceedings of the 17th Annual Conference on Legal Knowledge and Information Systems (Jurix) Kumar R, Raghuveer K (2012) Legal document summarization using latent dirichlet allocation. Int J Comput Sci Telecommun 3:114–117 Lin CY (2004) Red: a package for automatic evaluation of abstracts. In: Text summarization branchout: proceedings of the ACL-04 workshop, vol.

8. Barcelona, Spanien Kikuchi Y, Hirao T, Takamura H, Okumura M, Nagata M (2014) Single document summarization based on nested tree structure. In: Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics, Bd. 2, pp 315-320 Wang Y, Ma J (2013) A comprehensive text abstract method based on latent semantic analysis. In: Natural Language Processing and Chinese Computing, Springer, pp 394-401 Saravanan M, Ravindran B (2010) Identification of rhetorical roles for segmentation and summary of a legal judgment. Artif Intell Law 18(1):45–76 Saravanan M, Ravindran B, Raman S (2006) Improving legal document summarization using graphical models. Front Artif Intell Appl 152:51 Brin S, Seite L (1998) Die Anatomy einer groß angelegten hypertextuellen Websuchmaschine. Comput Netw ISDN Syst 30(1):107–117 Gong Y, Liu X (2001) Generic text summarization using relevance measure and latent semantic analysis. In: Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM, pp 19-25 Wang T, Chen P, Simovici D (2016) A new evaluation measure using compression dissimilarity on the text abstract. Appl Intell 45(1):127–134 Ferreira R, de Souza Cabral L, Lins RD, e Silva GP, Freitas F, Cavalcanti GD, Lima R, Simske SJ, Favaro L (2013b) Assessing sentence scoring techniques for extractive text summarization. Expert Syst Appl 40(14):5755–5764 Ferreira R, de Souza Cabral L, Freitas F, Lins RD, de França Silva G, Simske SJ, Favaro L (2014) A multi-document synthesis system based on statistics and linguistic processing. Expert Syst Appl 41(13):5780–5787 Bun KK, Ishizuka M (2002) Topic extraction from news archive using tf* pdf algorithm.

Dans: International conference on web information systems engineering, IEEE Computer Society, pp 73-73 Cohan A, Goharian N (2016) Revisiting summarization evaluation for scientific articles. arXiv preprint arXiv:1604.00400 Hamid F, Tarau P (2014) Textzusammenfassung als assistive Technologie. Dans: Actes de la 7e conférence internationale sur les technologies omniprésentes liées aux environnements d’assistance, ACM, p 60 Hirao T, Yoshida Y, Nishino M, Yasuda N, Nagata M (2013) Single-document summarization as a tree knapsack problem.

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