Mihai Surdeanu
Associate Professor, Cognitive Science - GIDP | Member of the Graduate Faculty | Professor, BIO5 Institute | Professor, Computer Science
About
Dr. Surdeanu earned a Ph.D. in Computer Science from Southern Methodist University, Dallas, Texas, in 2001. He has more than 15 years of experience in building systems driven by natural language processing (NLP) and machine learning. His experience spans both academia (Stanford University, University of Arizona) and industry (Yahoo! Research and two NLP-centric startups). During his career he published more than 80 peer-reviewed articles, including two articles that were among the top three most cited articles at two different NLP conferences. He was a leader or member of teams that ranked in the top three at seven highly competitive international evaluations of end-user NLP systems such as question answering and information extraction. His work was funded by several government organizations (DARPA, NIH), as well as private foundations (the Allen Institute for Artificial Intelligence, the Bill & Melinda Gates Foundation).
Research Area
- 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.
Algorithms for Natural Language Processing
Applied Natural Language Processing
Statistical Foundations for the Information Age
Text Retrieval and Web Search
Statistical Natural Language Processing