D
Scholar
Dan Roth
Google Scholar ID: E-bpPWgAAAAJ
Professor of Computer Science, University of Pennsylvania
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Background
Research focuses on the computational foundations of intelligent behavior, with learning at the core of intelligence.
Centers on machine learning and inference methods to facilitate natural language understanding.
Recent focus on constrained conditional models using integer linear programming for joint learning and global inference.
Explores fundamental issues such as learning with indirect supervision, response-driven learning, decomposed learning, and amortized inference.
Emphasizes 'incidental supervision' as a strategy to circumvent annotation challenges in complex tasks.
Also works on natural language acquisition, ESL, and information trustworthiness.
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