CMU - Language Technologies Institute

 
Introduction
Datasets and Demos
Publications
People
Research Partners

 
 

The eRulemaking @ Carnegie Mellon Project is sponsored in part by National Science Foundation grants IIS-0704210, IIS-0429102, IIS-0429293, and EIA-0327979.

eRulemaking @ Carnegie Mellon

Notice and comment rulemaking is the process of creating new governmental regulations by proposing new rules, collecting and considering public comments on the rules, and making the final rules. Proposed regulations must be published in draft form, the public must be allowed to comment, and the agency must consider the public's comments before issuing the final regulations. This process is specified under section 553 of the Administrative Procedures Act (APA), which was issued in 1946.

In the past, public comment was submitted to the U.S. federal government primarily in paper form. However during the last several years the government has begun to allow comments to be submitted electronically in some cases. Recently Regulations.gov web site was created to make it easier for citizens to examine and comment on proposed regulations, so the volume of electronic comments is expected to grow rapidly.

The process of soliciting and considerating public comments which are electronically submitted is called "eRulemaking". eRulemaking offers opportunities for the government to reduce its costs and improve the quality of notice and comment rulemaking, but it also poses a variety of new social, political, and technical challenges. This website is created for government agencies and rulewriters to utilize the state-of-the-art information seeking and analytical tools in the eRulemaking process.

The Carnegie Mellon eRulemaking project focuses primarily on a set of technical challenges related to effective use of large amounts of unstructured public commentary. Citizens and government administrators need a variety of navigation aids and analysis tools to help them understand the contents of large public comment databases. These aids and tools include full-text search, Near-Duplicate Detection, Stakeholder Identification, etc. The underlying technologies are primarily Information Retrieval, Text Mining, and Natural Language Processing.

 


eRulemaking @ Carnegie Mellon
Copyright © 2007, 2008 Carnegie Mellon University. All Rights Reserved.
Maintained by Jamie Callan and Grace Hui Yang .
Last modified: January 24, 2007. 16:51:06 pm