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Colloquium – Qingyao Ai
February 13 @ 9:45 am - 11:30 am
February 13, 2019
bagels and coffee – 9:45am
lecture – 10:00am
Host: Ellen Riloff
Towards Intelligent Information Retrieval Systems
The boundary between computer and human is becoming less defined today. The advances of AI technology enable computers to complete complicated tasks that used to require human expertise; people expect technology to provide human-like assistance: they want advices on which TV to buy, they want automatic travel arrangements, and they even want it to answer their mercurial questions on health care and politics. These needs cannot be fulfilled by a simple information system that only retrieves material based on keyword matching. In this talk, I will introduce my research on the development of intelligent information retrieval systems based on representing, understanding, and retrieving information in different information seeking environments. Specifically, I will describe my work on applying advanced machine learning techniques such as neural networks and counterfactual learning to three topics towards an intelligent information system: (1) the construction of heterogeneous information representations for information retrieval, (2) the modeling of information relevance in complicated search contexts, and (3) the utilization of user feedback in noisy environments.