Professor in Linguistics and CS interested in natural language understanding and neural dialogue generation.
Team Leader 2020
5th year NLP PhD interested in informative conversations, conversational QA and user initiative.
Team Leader 2021. MS CS focusing on efficient and interpretable dialogue systems.
MS student in CS working on the entity linking module of the bot as well offensive user handling.
MS student in CS. He is working on news dialogue, neural summarization, and user characteristic inference.
MS student in CS. He is interested in interpretability work and has been helping with maintaining the dashboard and template infilling.
MS student in CS interested in analyzing online conversational behavior. He has worked on teaching the bot to talk about personal problems and aliens, and is refactoring its response generation to be more centralized and consistent across response modules.
MS student in CS. He has worked on incorporating sports discussion into the bot and is working on a template-based neural response generation.
MS student in CS working on sports-related dialogue and improving the robustness of the bot.
MS student in CS. Her area of interests lie in generative models and representation learning. She is working on conversational QA and user persona identification in the Chirpy Cardinal team.
MS student in CS working on food-related dialogue and improving the user experience of the bot.
MS student in CS and has focused on entity linking and disambiguation in dialogues and neural response ranking for the team.
MS student in CS working on neural response ranking and response generation for the team.
Team Leader 2020
Abi See is a PhD student in CS. In Chirpy Cardinal’s first year, she co-led the team to build the bot from the ground up.
Master’s student in CS who has been on the AP team for the past two years. Most recently, she’s worked on the open-source version of chirpy cardinal.