Richard Burns, Ph.D.

Automated intention recognition of grouped bar charts in multimodal documents

Burns, Richard J. · University of Delaware, ProQuest, UMI Dissertations Publishing, 2013

proquest

Context is key: aligning large language models with human moral judgments through retrieval-augmented generation

Matthew Boraske, Richard Burns · Proc. 38th FLAIRS, 2025. Full paper acceptance rate: 38%

doi

Intergenerational classification of Reddit comments based on slang and emoji usage

James Dracup, Richard Burns · Proc. 40th PACISE, pp. 54–60, 2025

Best Graduate Student Paper

Statewise Twitter sentiment analysis of 2020 US presidential election using Apache Spark

Prathyusha Dongari, Richard Burns · Proc. 35th PACISE, pp. 44–51, 2021

Best Graduate Student Paper

An automated approach for the recognition of intended messages in grouped bar charts

Richard Burns, Sandra Carberry, Stephanie Elzer Schwartz · Computational Intelligence, 35:955–1002, 2019

doi

Modeling a graph viewer's effort in recognizing messages conveyed by grouped bar charts

Richard Burns, Sandra Carberry, Stephanie Elzer Schwartz · Proc. 21st UMAP, pp. 114–126, 2013. Acceptance rate: 32%

springer pdf

Automatically recognizing intended messages in grouped bar charts

Richard Burns, Sandra Carberry, Stephanie Elzer, Daniel Chester · Proc. 7th Diagrams, pp. 8–22, 2012. Acceptance rate: 30%

Best Student Paper

springer pdf