Now showing items 1-6 of 6
Presentation and Analysis of a Multimodal Dataset for Grounded LanguageLearning
Grounded language acquisition -- learning how language-based interactions refer to the world around them -- is amajor area of research in robotics, NLP, and HCI. In practice the data used for learning consists almost ...
Mental Model Mapping Method for Cybersecurity
(Springer Nature, 2020-07-10)
Visualizations can enhance the efficiency of Cyber Defense Analysts, Cyber Defense Incident Responders and Network Operations Specialists (Subject Matter Experts, SME) by providing contextual information for various ...
Machine Learning and Student Performance in Teams
(Springer Nature, 2020-06-30)
This project applies a variety of machine learning algorithms to the interactions of first year college students using the GroupMe messaging platform to collaborate online on a team project. The project assesses the efficacy ...
Towards the Automatic Assessment of Student Teamwork
Teamwork skills are crucial for college students, both at university and afterwards. At many universities, teams are increasingly using discussion platforms such as GroupMe and Slack to work virtually. However, little has ...
A Spoken Language Dataset of Descriptions for Speech-Based Grounded Language Learning
Grounded language acquisition is a major area of research combining aspects of natural language processing, computer vision, and signal processing, compounded by domain issues requiring sample efficiency and other deployment ...
Towards Making Virtual Human-Robot Interaction a Reality
(Association for Computing Machinery, 2021)
For robots deployed in human-centric spaces, natural language promises an intuitive, natural interface. However, obtaining appropriate training data for grounded language in a variety of settings is a significant barrier. ...