Speech-based Interface for Medical Data Access
We’re looking for a UROP or MEng student who will start around IAP. The student will work on a medical domain spoken dialogue system, which harvests patient-provided medical data (such as drug reviews or vaccine reports) from the web and presents the summarized content to users via spoken conversations. Statistical models such as Conditional Random Fields will be explored for spoken language understanding, and data mining approaches such as topic modeling will be investigated for medical data analysis.
Requirements: Java expertise. This project is expected to turn into a Super UROP or MEng thesis. If interested, please send a CV to Jingjing Liu (email@example.com).