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Full-Text Articles in Social and Behavioral Sciences

12-2000 Newsletter, Minnesota State University, Mankato. Library Services Dec 2000

12-2000 Newsletter, Minnesota State University, Mankato. Library Services

Library Services Newsletters

Minnesota State University, Mankato, Library Services Newsletter for December 2000.


11-2000 Newsletter, Minnesota State University, Mankato. Library Services Nov 2000

11-2000 Newsletter, Minnesota State University, Mankato. Library Services

Library Services Newsletters

Minnesota State University, Mankato, Library Services Newsletter for November 2000.


10-2000 Newsletter, Minnesota State University, Mankato. Library Services Oct 2000

10-2000 Newsletter, Minnesota State University, Mankato. Library Services

Library Services Newsletters

Minnesota State University, Mankato, Library Services Newsletter for October 2000.


Dialog Act Modeling For Automatic Tagging And Recognition Of Conversational Speech, Andreas Stolcke, Klaus Ries, Noah Coccaro, Elizabeth Shriberg, Rebecca Bates, Daniel Jurafsky, Paul Taylor, Rachel Martin, Carol Van Ess-Dykema, Marie Meteer Sep 2000

Dialog Act Modeling For Automatic Tagging And Recognition Of Conversational Speech, Andreas Stolcke, Klaus Ries, Noah Coccaro, Elizabeth Shriberg, Rebecca Bates, Daniel Jurafsky, Paul Taylor, Rachel Martin, Carol Van Ess-Dykema, Marie Meteer

Integrated Engineering Department Publications

We describe a statistical approach for modeling dialogue acts in conversational speech, i.e., speech-act-like units such as Statement, Question, Back channel, Agreement, Disagreement, and Apology. Our model detects and predicts dialogue acts based on lexical, collocational, and prosodic cues, as well as on the discourse coherence of the dialogue act sequence. The dialogue model is based on treating the discourse structure of a conversation as a hidden Markov model and the individual dialogue acts as observations emanating from the model states. Constraints on the likely sequence of dialogue acts are modeled via a dialogue act n-gram. The statistical dialogue grammar …


Characteristics Of Empirically-Supported Treatments, William T. O'Donohue, Jeffrey Buchanan, Jane E. Fisher Apr 2000

Characteristics Of Empirically-Supported Treatments, William T. O'Donohue, Jeffrey Buchanan, Jane E. Fisher

Psychology Department Publications

This study presents a survey of general characteristics of empirically supported treatments (ESTs) identified by the American Psychological Association Division 12 Task Force on the Promotion and Dissemination of Psychological Procedures. Results indicate that the ESTs share the following characteristics: they involve skill building, have a specific problem focus, incorporate continuous assessment of client progress, and involve brief treatment contact, requiring 20 or fewer sessions. Traditional assessment methods, such as intelligence testing, projectives, and objective personality tests such as the MMPI-2, are rarely used in these treatments. Although it is recognized that these findings are in part an artifact of …