LAIR: A Language for Automated Semantics-Aware Text Sanitization Based on Frame Semantics

We present LAIR: A domain-specific language that enables users to specify actions to be taken upon meeting specific semantic frames in a text, in particular to rephrase and redact the textual content. While LAIR presupposes superficial knowledge of frames and frame semantics, it requires only limited prior programming experience. It neither contain scripting or I/O primitives, nor does it contain general loop constructions and is not Turing-complete. We have implemented a LAIR compiler and integrated it in a pipeline for automated redaction of web pages. We detail our experience with automated redaction of web pages for subjectively undesirable content; initial experiments suggest that using a small language based on semantic recognition of undesirable terms can be highly useful as a supplement to traditional methods of text sanitization.