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Accelerating Cross-Disciplinary Innovation with Computational Analogy

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This project investigates how to develop interactive search engines that enable scientists and inventors to discover and adapt ideas across disciplinary boundaries, powered by algorithms that match based on analogical similarity rather than surface features such as keywords.

Duration
6/8/2020 - 6/7/2023
Principal Investigator
Joel Chan
Research Area
Computational Linguistics, Machine Learning, and Information Retrieval
Funder
US Office of Naval Research
Total Award Amount
$349,647.00
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