I am a computer science PhD student at the University of Rochester. My research area is natural language processing, and I am advised by Daniel Gildea. I am interested in text generation from semantic structures like AMR.
I received my bachelor's degree from the University of Michigan in 2017, where I worked with Danai Koutra. My past projects have involved areas such as dynamic graph visualization and image segmentation.
Lisa Jin and Daniel Gildea. “AMR-to-Text Generation with Cache Transition Systems.“ arXiv:1912.01582, December 2019.
Lisa Jin. “Text Generation from Abstract Meaning Representation.” Area paper, University of Rochester, April 2019.
Neil Shah, Danai Koutra, Lisa Jin, Tianmin Zou, Brian Gallagher, Christos Faloutsos. “On Summarizing Large-Scale Dynamic Graphs.” Data Engineering Bulletin, September 2017, 40 (3).
Lisa Jin and Danai Koutra. “ECOviz: Comparative Visualization of Time-Evolving Network Summaries.” KDD Workshop on Interactive Data Exploration and Analytics, August 2017.