I am a PhD student in computer science at Stony Brook University, under the advisement of Profs. Niranjan Balasubramanian
and Andy Schwartz
. I received my BA in computer science from Carleton College in 2013 and joined Stony Brook that fall. My research is in natural language processing with a few major interests:
- Personalizing NLP through user-factor adaptation, the idea of adapting models to real-valued user attributes, or factors.
- Encouraging productive engagement on social media by connecting users to those with opposing viewpoints in a manner that promotes thoughtful discussion.
Human Centered NLP with User-Factor Adaptation
Veronica E. Lynn
, Youngseo Son, Vivek Kulkarni, Niranjan Balasubramanian, and H. Andrew Schwartz
EMNLP, 2017 [code
POE: A Pathology Extraction Tool for Finding Attribute-Value Pairs in Glioma Pathology Reports
Veronica E. Lynn
, Niranjan Balasubramanian, Tahsin Kurc, Joel Saltz, and Rebecca Jacobson
Podium Abstract at AMIA Annual Symposium, 2016
Semantic Role Labeling for Process Recognition Questions
Samuel Louvan, Chetan Naik, Veronica Lynn
, Ankit Arun, Niranjan Balasubramanian, and Peter Clark
K-CAP Scientific Knowledge Workshop, 2015
I developed Angry Words
, an automated crossword solver, for my senior project at Carleton. I worked to create a number of modular "solvers", each of which answered individual clues based on their own particular knowledge domain. I also helped develop an algorithm to combine the solvers' candidate answers into a single solution for the puzzle.
I spent two summers working at RedJack
. During my second summer, I created a deep belief network using a non-linear, tree-based network of restricted Boltzmann machines to classify network packet data.
I also participated in the SURF-IT
summer research program, where I worked on a project to investigate the use of sarcasm in online debates.