Research focus
About the research
How can AI systems continue learning after deployment as the world and their conversations change?
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The group investigates lifelong and continual learning, autonomous AI and open-world learning. Research also spans natural-language processing, chatbots and data mining, with a longstanding focus on extracting opinions and sentiments from text. Documented work includes detecting deceptive opinions, learning from positive and unlabeled examples, and extracting information from the web. The current program examines self-evolving agents and continually learning dialogue systems, connecting language understanding with adaptation over time.
Selected publications
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People & alumni
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