Abstract
We present a work in progress report of our research on automatically analyzing German court decisions. For accessibility to information retrieval and text summarization processing, we show concepts of a parsing framework dealing with linguistic features of this genre. To cover these features, we first developed a description language inferred from content structure analysis presented before. The main aspect of this paper is the presentation of a graph-based parsing framework concept. The parser will be able to label the content structure of German court decisions.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Angelova, R., Weikum, G.: Graph-based Text Classification: Learn from Your Neighbors. In: Proceedings of the 29th Annual International ACM SIGIR Conference, Seattle (2004)
Bieler, H., Dipper, S., Stede, M.: Identifying formal and functional zones in film reviews. In: Proceedings of the 8th SIGdial Workshop on Discourse and Dialogue, Antwerpen (2007)
Dipper, S.: XML-based Stand-off Representation and Exploitation of Multi-Level Linguistic Annotation. In: Proc. of Berliner XML-Tage (BXML 2005), pp. 39–50 (2005)
Engberg, J.: Signalfunktion und Kodierungsgrad von sprachlichen Merkmalen in Gerichtsurteilen. Hermes - Journal of Language and Communication Studies (1992)
Freeman, J.: Dialectics and the macrostructure of arguments: A theory of argument structure. Foris, Berlin (1991)
Hanneforth, T., Heintze, S., Stede, M.: Rhetorical Parsing with Underspecification and Forests. In: Proceedings of the HLT/NAACL Conference 2003, Companions Volume. Edmonton/AL (2003)
Hachey, B., Grover, C.: Extractive summarization of legal texts. Artificial Intelligence and Law 14, 305–345 (2006)
Marcu, D.: The Theory and Practice of Discourse Parsing and Summarization. MIT Press, Cambridge (2000)
Michalcea, R.: Graph-based Ranking Algorithms for Sentence Extraction, Applied to Text Summarization. In: Proc. of ACL, Barcelona (2004)
Moens, M.-F., Uyttendaele, C., Dumortier, J.: Abstracting of Legal Cases: The SALOMON Experience. In: Proc. of the 6th Int’l Conference on Artificial Intelligence and Law, Melbourne (1996)
Radev, D.R.: Weakly-Supervised Graph-based Methods for Classification. U. Michigan Technical Report CSE-TR-500-04 (2004)
Rave, D., et al.: Paraphrasen juristischer Texte, Darmstadt (1971)
Stede, M., Bieler, H., Dipper, S., Suryiawongkul, A.: SUMMaR: Combining linguistics and statistics for text summarization. In: Proceedings of ECAI, Riva del Garda (2006)
Stede, M., Sauermann, A.: Linearization of arguments in commentary texts. In: Proceedings of the Workshop on Multidisciplinary Approaches to Discourse, Oslo (2008)
Stede, M., Kuhn, F.: Identifying the Content Zones of German Court Decisions. In: 2nd LIT 2009 Proceedings, Poznan (2009)
Stede, M., Kuhn, F.: Document Structure and Argumentation in German Court Decisions. In: ICAIL 2009 NaLEA Workshop, Barcelona (2009)
Teufel, S., Moens, M.: Summarizing Scientific Articles – Experiments with Relevance and Rhetorical Status. Computational Linguistics 28(4) (2002)
Walter, S., Pinkal, M.: Linguistic support for legal ontology construction. In: Proceedings of ICAIL, pp. 242–243 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2010 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Kuhn, F. (2010). A Framework for Graph-Based Parsing of German Private Law Decisions. In: Abramowicz, W., Tolksdorf, R., Węcel, K. (eds) Business Information Systems Workshops. BIS 2010. Lecture Notes in Business Information Processing, vol 57. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15402-7_35
Download citation
DOI: https://doi.org/10.1007/978-3-642-15402-7_35
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-15401-0
Online ISBN: 978-3-642-15402-7
eBook Packages: Computer ScienceComputer Science (R0)