Paper: ConsentCanvas: Automatic Texturing for Improved Readability in End-User License Agreements

ACL ID P11-3008
Title ConsentCanvas: Automatic Texturing for Improved Readability in End-User License Agreements
Venue Annual Meeting of the Association of Computational Linguistics
Session Student Session
Year 2011
Authors

We present ConsentCanvas, a system which structures and “texturizes” End-User License Agreement (EULA) documents to be more readable. The system aims to help users better understand the terms under which they are providing their informed consent. ConsentCanvas receives unstruc- tured text documents as input and uses un- supervised natural language processing methods to embellish the source document using a linked stylesheet. Unlike similar usable security projects which employ summarization techniques, our system pre- serves the contents of the source document, minimizing the cognitive and legal burden for both the end user and the licensor. Our system does not require a corpus for train- ing.