Adarsh Pyarelal
Member of the Graduate Faculty | Assistant Professor, School of Information
About
I am a research scientist in the School of Information at the University of Arizona. My research interests include the development of socially-aware AI teammates, and the automated assembly of executable causal models of complex systems from text and software. Broadly speaking, I am interested in machine learning and artificial intelligence. In particular, I am interested in Bayesian generative approaches to inference problems. I am currently the principal investigator on the ToMCAT project, funded by a DARPA grant as part of the Artificial Social Intelligence for Successful Teams ASIST) program.
Research Area
Recent
- The Computational Language Understanding (CLU) Lab at University of Arizona is a team of faculty, students, and research programmers who work together to build systems that extract meaning from natural language texts, including question answering (answering natural language questions), information extraction (extracting specific relations and events), semantic role labeling (extracting semantic frames that model who did what to whom, when and where), parsing the discourse structure of complex texts, and other computational linguistics problems.These systems were used in several applications, ranging from extracting cancer signaling pathways from biomedical articles to automated systems for answering multiple-choice science-exam questions.The CLU lab includes members from the Computer Science department, the Linguistics department, and the School of Information. For more on natural language processing (NLP) work at UofA, please see our NLP cluster page.
- The Machine Learning for Artificial Intelligence (ML4AI) Lab conducts research at the frontier of machine learning and artificial intelligence, with applications to a variety of domains, including automated assembly of models from natural language and software ( SKEMA, Reach, Eidos, Delphi, AutoMATES), developing AI musicians capable of collaborating and improvising with humans (Musica), and socially-aware AI agents (ToMCAT).
Introduction to Machine Learning
Introductory Physics I