Sun 4 Nov 2018 11:30 - 11:45 at Rock Lake - NL4SE Workshop II

Alzheimer’s disease is a progressive illness that affects more than 5.5 million people in the United States with no effective cure or treatment. Symptoms of the disease include declines in memory and speech abilities and increases in aggression and insomnia. Recent research suggests that NLP techniques can detect early cognitive decline as well as monitor the rate of decline over time. The processed data can be used in a smart home environment to enhance the level of home care for Alzheimer’s patients. This paper proposes early-stage research in software engineering and natural language processing for quantifying and evaluating the patient’s cognitive state to determine the required level of support in a smart home.

Sun 4 Nov

Displayed time zone: Guadalajara, Mexico City, Monterrey change

10:30 - 12:00
NL4SE Workshop IINL4SE at Rock Lake
10:30
15m
Talk
Total Recall, Language Processing, and Software Engineering
NL4SE
10:45
15m
Talk
Is “Naturalness” a Result of Deliberate Choice?
NL4SE
Kevin Lee University of California at Davis, USA, Casey Casalnuovo University of California at Davis, USA
11:00
15m
Talk
A Fine-Grained Approach for Automated Conversion of JUnit Assertions to English
NL4SE
Danielle Gonzalez Rochester Institute of Technology, USA, Suzanne Prentice University of South Carolina, USA, Mehdi Mirakhorli Rochester Institute of Technology
11:15
15m
Talk
TestNMT: Function-to-Test Neural Machine Translation
NL4SE
Robert White University College London, UK, Jens Krinke University College London
11:30
15m
Talk
3CAP: Categorizing the Cognitive Capabilities of Alzheimer’s Patients in a Smart Home Environment
NL4SE
Kate M. Bowers , Reihaneh H. Hariri Oakland University, USA, Katey A. Price Albion College, USA
11:45
15m
Talk
Generating Comments from Source Code with CCGs
NL4SE
Sergey Matskevich Drexel University, USA, Colin Gordon Drexel University