Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 2 of 2
Full-Text Articles in Law
Active Learning For E-Rulemaking: Public Comment Categorization, Stephen Purpura, Claire Cardie, Jesse Simons
Active Learning For E-Rulemaking: Public Comment Categorization, Stephen Purpura, Claire Cardie, Jesse Simons
Cornell e-Rulemaking Initiative Publications
We address the e-rulemaking problem of reducing the manual labor required to analyze public comment sets. In current and previous work, for example, text categorization techniques have been used to speed up the comment analysis phase of e-rulemaking - by classifying sentences automatically, according to the rule-specific issues [2] or general topics that they address [7, 8]. Manually annotated data, however, is still required to train the supervised inductive learning algorithms that perform the categorization. This paper, therefore, investigates the application of active learning methods for public comment categorization: we develop two new, general-purpose, active learning techniques to selectively sample …
I'D Just As Soon Flunk You As Look At You?: The Evolution To Humanizing In A Large Classroom, Justine A. Dunlap
I'D Just As Soon Flunk You As Look At You?: The Evolution To Humanizing In A Large Classroom, Justine A. Dunlap
Faculty Publications
Initially, this article sets forth my own progress in becoming a teacher who incorporates humanizing principles. Next, the article analyzes some of the theory behind the humanizing legal education principles. The article will then present some specific teaching techniques for those interested in adding a humanizing dimension to their teaching, focusing primarily on the large classroom setting. The article will also note the barriers to adopting humanizing techniques, as well as possible ways to overcome those barriers.