Krasnow Waterman on Pre-processing Legal Text: Policy Parsing and Isomorphic Intermediate Representation

K. Krasnow Waterman, Esq., M.B.A., of the MIT Computer Science and Artificial Intelligence Laboratory, presented a paper entitled Pre-processing Legal Text: Policy Parsing and Isomorphic Intermediate Representation, at PRIVACY 2010: Intelligent Information Privacy Management: AAAI Spring Symposium, held 23-25 March 2010 at Stanford University’s CodeX: The Stanford Center for Computers and Law, in Palo Alto, California, USA. Here is the abstract:

One of the most significant challenges in achieving digital privacy is incorporating privacy policy directly in computer systems. While rule systems have long existed, translating privacy laws, regulations, policies, and contracts into processor amenable forms is slow and difficult because the legal text is scattered, run-on, and unstructured, antithetical to the lean and logical forms of computer science. We are using and developing intermediate isomorphic forms as a Rosetta Stone-like tool to accelerate the translation process and in hopes of providing support to future domain-specific Natural Language Processing technology. This report describes our experience, thoughts about how to improve the form, and discoveries about the form and logic of the legal text that will affect the successful development of a
rules tool to implement real-world complex privacy policies.

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One Response to Krasnow Waterman on Pre-processing Legal Text: Policy Parsing and Isomorphic Intermediate Representation

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