I will present my latest work on dialogue state tracking at the DSTC7 workshop co-hosted with AAAI in Honolulu on January 27!
I completed my Master of Science degree in June 2015 and am currently pursuing my PhD with Dr. James Glass. My primary research interest is natural language processing (NLP), especially spoken language understanding and dialogue systems. For my PhD, I designed novel convolutional neural network models that perform semantic tagging and mapping of natural language meal descriptions to semantically similar USDA food database entries. I also demonstrated that asking followup clarification questions with deep reinforcement learning boosts food recall performance by narrowing down the search space. I showed that these neural convolutional models generalize to other tasks beyond nutrition, including semantic tagging of user queries in flight and movie booking domains, as well as dialogue state tracking for restaurant booking conversations. I am interested in developing conversational agents that use recurrent neural network models to converse naturally with humans, and reinforcement learning to adapt online to users in order to personalize each interaction.
April 2016, Service Award. Sidney Pacific Graduate Residence.
April 2015, Fellowship. National Defense Science and Engineering Graduate (NDSEG).
March 2015, Honorable Mention. National Science Foundation (NSF) Graduate Research Fellowship.
December 2014, Best Rated Poster Presentation Award: Demos. Spoken Language Technology Workshop (SLT), South Lake Tahoe.
Korpusik, M. et al. A System and Method for Semantic Mapping of Natural Language Input to Database Entries via Convolutional Neural Networks. U.S. Provisional Patent Application 15/922394, filed March 15, 2018. Patent Pending.