Examens corriges

chapter 801. jails and workhouses - Michigan Legislature

The sheriff shall take such precautionary measures as may be deemed necessary to prevent the escape of prisoners employed under the provisions of this act, and ...



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KYI - Michigan Corrections Organization
On December 21st, officers covering an inmate at the Saline. Hospital were attacked when the inmate jumped off the bed, screamed ?I'm going to kill both of you 
Michigan's Experiment in Minimum Security Penology
The men who finally arrived at the Lake, then would have been sen- tenced to the State Prison of Southern Michigan or, if sentenced from the upper peninsula, to 
Michigan Department of Corrections - Office of Justice Programs
During the past few years, the Michigan Department of Corrections has become more acutely aware of public dissatisfaction with the criminal justice system's.
Towards controllable neural generation of arguments
This dissertation presents a line of research aimed at more controllable neural text generation systems for arguments. We focus on two key aspects: (1) the 
Generalization in Generation: A closer look at Exposure Bias
Exposure bias refers to the train-test discrep- ancy that seemingly arises when an autoregres- sive generative model uses only ground-truth.
CORRECTION OF MISINFORMATION 1 Fluid Intelligence but not ...
the correction text, whereas those in the control group did not read the correction text. Next, the attitude items had to be filled in a second time, both 
Mix and Match: Learning-free Controllable Text Generation using ...
A simple approach to controlled text generation. In In-. 671 ternational Conference on Learning Representations. 672. Jacob Devlin, Ming-Wei Chang, Kenton Lee 
ToTTo: A Controlled Table-To-Text Generation Dataset
We present TOTTO, an open-domain English table-to-text dataset with over 120,000 train- ing examples that proposes a controlled gener-.
Adversarial Text Generation via Feature-Mover's Distance
In this experiment, we adapt the idea of feature mover's distance to the original framework of CipherGAN and test this Toward controlled generation of text.
Mix and Match: Learning-free Controllable Text Generation using ...
Figure 1: Overview of Mix and Match LM. The Lego pieces show different experts that can be used to form the energy LM and help control different features in 
Mix and Match: Learning-free Controllable Text Generation using ...
We interpret the task of controllable generation as drawing samples from an energy-based model whose energy values are a linear combination of 
Text Generation, Editing and Summarization - Lidong Bing
Toward Controlled Generation of Text, ICML-2017, [paper], [official code], [unofficial code]. ?. Style Transfer from Non-Parallel Text by Cross-Alignment, NIPS-.