eRulemaking CS501 Presentation 2. Who We Are. Sam Phillips MEng in CS Dan Rassi Junior in CS Michael Wang MEng in CS Krzysztof Findeisen Senior in Astro and CS Raymond McGill Senior in IS. Project Overview. Federal Requirement To Read Comments To Proposed Rulemakings
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EARS – Electronic Annotation and Rulemaking System
Will provide a single interface for managing comments the government receives as part of its eRulemaking process
Will use Natural Language Processing (NLP) tools to automate handling of large comment sets
We are working on a prototype EARS for the Legal Information Institute (LII)
Tom Bruce of the LII is our chief contact, but we are also working with several other LII groups
As of Phase II, we had a simple, nonfunctional website that demonstrated our interface
Experts: LII Student
Rule / Reg.: Proposed rule by a federal agency
Rulemaker / Analyst: Domain expert in agency
Issue: A logical facet which the Rule impacts.
Annotate / Tag (v): To “highlight” text and associate it with a specific issue.
Metadata: Data about Data
(e.g. E-mail to/from/size)
Tag (n): An issue as metadata
Flag (n): Non-issue related metadata (e.g. workflow)
Add / Remove
Add / Remove