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2008

A study in rule-specific issue categorization for e-rulemaking

13 years 4 months ago
A study in rule-specific issue categorization for e-rulemaking
We address the e-rulemaking problem of categorizing public comments according to the issues that they address. In contrast to previous text categorization research in e-rulemaking [5, 6], and in an attempt to more closely duplicate the comment analysis process in federal agencies, we employ a set of rule-specific categories, each of which corresponds to a significant issue raised in the comments. We describe the creation of a corpus to support this text categorization task and report interannotator agreement results for a group of six annotators. We outline those features of the task and of the e-rulemaking context that engender both a non-traditional text categorization corpus and a correspondingly difficult machine learning problem. Finally, we investigate the application of standard and hierarchical text categorization techniques to the e-rulemaking data sets and find that automatic categorization methods show promise as a means of reducing the manual labor required to analyze larg...
Claire Cardie, Cynthia Farina, Adil Aijaz, Matt Ra
Added 29 Oct 2010
Updated 29 Oct 2010
Type Conference
Year 2008
Where DGO
Authors Claire Cardie, Cynthia Farina, Adil Aijaz, Matt Rawding, Stephen Purpura
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