An eRulemaking Corpus: Identifying Substantive Issues in Public Comments
Claire Cardie, Cynthia R. Farina, Matt Rawding, Adil Aijaz · 2008
We describe the creation of a corpus that supports a real-world hierarchical text categorization task in the domain of electronic rulemaking (eRulemaking).Features of the task and of the eRulemaking domain engender both a non-traditional text categorization corpus and a correspondingly difficult machine learning task.Interannotator agreement results are presented for a group of six annotators.We also briefly describe the results of experiments that apply standard and hierarchical text categorization techniques to the eRulemaking data sets.The corpus is the first in a series of related sentence-level text categorization corpora to be developed in the eRulemaking domain.