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Extracting Formal Models from Normative Texts

Part of the Lecture Notes in Computer Science book series (LNISA,volume 9612)


Normative texts are documents based on the deontic notions of obligation, permission, and prohibition. Our goal is model such texts using the C-O Diagram formalism, making them amenable to formal analysis, in particular verifying that a text satisfies properties concerning causality of actions and timing constraints. We present an experimental, semi-automatic aid to bridge the gap between a normative text and its formal representation. Our approach uses dependency trees combined with our own rules and heuristics for extracting the relevant components. The resulting tabular data can then be converted into a C-O Diagram.


  • Information extraction
  • Normative texts
  • C-O diagrams

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  • DOI: 10.1007/978-3-319-41754-7_40
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This research has been supported by the Swedish Research Council under Grant No. 2012-5746 and partially supported by the Latvian State Research Programme NexIT.

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Correspondence to John J. Camilleri or Normunds Gruzitis .

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Camilleri, J.J., Gruzitis, N., Schneider, G. (2016). Extracting Formal Models from Normative Texts. In: Métais, E., Meziane, F., Saraee, M., Sugumaran, V., Vadera, S. (eds) Natural Language Processing and Information Systems. NLDB 2016. Lecture Notes in Computer Science(), vol 9612. Springer, Cham.

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