Report to the Provost from the Task Force to Review Dialogues on Diversity

One of the action items arising from the work of the Campus Climate Implementation Team and the President’s Advisory Committee on Diversity was a request from the President to the Provost to review the Dialogues on Diversity course. The Provost instructed this Task Force to review the current Dialogues on Diversity course to determine how it should be continued for optimal impact and to determine whether it is appropriate to add a “Dialogues—Part 2” to the curriculum. The Provost’s charge to the Task Force also asked for recommendations that include details on the following components of the current program: goals and objectives of the revised course administration and recommended department home for the revised course possibility of and need for a second course optimal coordination with other programs/initiatives on campus.

Trois dialogues sur la loi ecclésiastique

Boberach: Die kirchlichen Zustände im Fürstentum Neuenburg, das mit Preußen durch Personalunion verbunden ist, sollen erhalten bleiben

Automatic identification of discourse markers in dialogues: An in-depth study of like and well

The lexical items like and well can serve as discourse markers (DMs), but can also play numerous other roles, such as verb or adverb. Identifying the occurrences that function as DMs is an important step for language understanding by computers. In this study, automatic classifiers using lexical, prosodic/positional and sociolinguistic features are trained over transcribed dialogues, manually annotated with DM information. The resulting classifiers improve state-of-the-art performance of DM identification, at about 90% recall and 79% precision for like (84.5% accuracy, κ = 0.69), and 99% recall and 98% precision for well (97.5% accuracy, κ = 0.88). Automatic feature analysis shows that lexical collocations are the most reliable indicators, followed by prosodic/positional features, while sociolinguistic features are marginally useful for the identification of DM like and not useful for well. The differentiated processing of each type of DM improves classification accuracy, suggesting that these types should be treated individually.