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Jordan Boyd-Graber
Human-centric Artificial Intelligence
Interpretable Machine Learning
Natural Language Deception Detection
Conversational Topic Reframing
Language-based Game AI
IRB 4146
About
I am a full professor in the University of Maryland Computer Science Department (tenure home), Institute of Advanced Computer Studies, INFO, and Language Science Center.rnrnMy research focuses on making machine learning more useful, more interpretable, and able to learn and interact from humans. This helps users sift through decades of documents; discover when individuals lie, reframe, or change the topic in a conversation; or to compete against humans in games that are based in natural language.
Research Performance Summary
2003-2026
Active Research Span
First Recorded Paper
Latent Dirichlet allocation. 2003
Year:
2003
Citations:
21
Venue:
Journal of Machine Learning Research 3
Latest Recorded Paper
Developing an artificial intelligence-powered question-and-answer chatbot with English-Spanish capabilities for new mothers
Year:
2026
Citations:
0
Venue:
JAMIA open 9 (1), ooaf169
Last 10 Years Publication Activity
This timeline shows the professor's yearly publication activity.
Publication Venues and Collaboration
Journal, Conference, and Book Publication Breakdown
Top Coauthors
Boyd-Graber
Resnik
Research Impact by Period
Papers
26
Citations
119
Avg. Citations / Paper
4.6
H-Index
6
Papers
86
Citations
2948
Avg. Citations / Paper
34.3
H-Index
27
Papers
77
Citations
5990
Avg. Citations / Paper
77.8
H-Index
35
Papers
51
Citations
3873
Avg. Citations / Paper
75.9
H-Index
28
Papers
15
Citations
5234
Avg. Citations / Paper
348.9
H-Index
9
Papers
4
Citations
30
Avg. Citations / Paper
7.5
H-Index
2
Contact and Professional Links
Detected Research Keywords
Association Computational Linguistics
Open Domain Question
Domain Question Answering
Topic Model Evaluation
Annual Meeting Association
Meeting Association Computational
Interactive Topic Modeling
Proceedings 61st Annual
61st Annual Meeting
Cross Lingual Word