Clayton Andrew CohnVanderbilt University | Vander Bilt · Institute for Software Integrated Systems (ISIS)
Clayton Andrew Cohn
CS PhD student and RA at Vanderbilt University with a focus on NLP and conversational AI in learning environments.
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Citations since 2016
3 Research Items
July 2021 - present
- Research Assistant
- Performing discourse analysis and event detection of nursing students during training. Designing conversational intelligent tutoring agent for computer-based high school physics module. Developing formative assessment engine for middle-school science short answer responses. Exploring NLP approaches to data augmentation, few-shot learning, and domain-specific learning.
January 2016 - April 2017
The UpNext Inc.
- iOS Developer
- Designed, built, and launched iOS music discovery app. Managed team of three software engineers. Developed algorithm for quantifying performance of up-and-coming artists. Implemented Apple SDK APIs and CocoaPods third-party APIs.
July 2005 - July 2009
- Infantry Machinegunner
- Honorably discharged as Sergeant with "Excellent" Proficiency and Conduct Marks. Completed two deployments to Iraq. Awarded Purple Heart for wounds sustained in battle. Awarded Certificate of Commendation as Honor Graduate (first in the class) at Infantry Machinegun Leaders Course.
Simulation-based training (SBT) programs are commonly employed by organizations to train individuals and teams for effective workplace cognitive and psychomotor skills in a broad range of applications. Distributed cognition has become a popular cognitive framework for the design and evaluation of these SBT environments, with structured methodologie...
Bidirectional Encoder Representations from Transformers (BERT) [Devlin et al., 2018] has been shown to be effective at modeling a multitude of datasets across a wide variety of Natural Language Processing (NLP) tasks; however, little research has been done regarding BERT’s effectiveness at modeling domain-specific datasets. Specifically, scientific...