activity
20202023
most citedImproving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education

8 citations · 11 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CY2023★ 2 cited

Wearable Sensor-based Multimodal Physiological Responses of Socially Anxious Individuals across Social Contexts

Emma R. Toner, Mark Rucker, Zhiyuan Wang +8

Correctly identifying an individual's social context from passively worn sensors holds promise for delivering just-in-time adaptive interventions (JITAIs) to treat social anxiety d…

cs.LG2022

Shape Analysis for Pediatric Upper Body Motor Function Assessment

Shashwat Kumar, Robert Gutierez, Debajyoti Datta +5

Neuromuscular disorders, such as Spinal Muscular Atrophy (SMA) and Duchenne Muscular Dystrophy (DMD), cause progressive muscular degeneration and loss of motor function for 1 in 6,…

cs.HC2021

Improving mathematical questioning in teacher training

Debajyoti Datta, Maria Phillips, James P Bywater +4

High-fidelity, AI-based simulated classroom systems enable teachers to rehearse effective teaching strategies. However, dialogue-oriented open-ended conversations such as teaching…

cs.AI2021

Evaluation of mathematical questioning strategies using data collected through weak supervision

Debajyoti Datta, Maria Phillips, James P Bywater +4

A large body of research demonstrates how teachers' questioning strategies can improve student learning outcomes. However, developing new scenarios is challenging because of the la…

cs.CL2020★ 8 cited

Improving Classification through Weak Supervision in Context-specific Conversational Agent Development for Teacher Education

Debajyoti Datta, Maria Phillips, Jennifer Chiu +4

Machine learning techniques applied to the Natural Language Processing (NLP) component of conversational agent development show promising results for improved accuracy and quality…

cs.CL2020★ 1 cited

Geometry matters: Exploring language examples at the decision boundary

Debajyoti Datta, Shashwat Kumar, Laura Barnes +1

A growing body of recent evidence has highlighted the limitations of natural language processing (NLP) datasets and classifiers. These include the presence of annotation artifacts…