The Language Understanding and Knowledge Acquisition (LUKA) Lab is directed by Dr. Muhao Chen. Our research focuses on data-driven machine learning approaches for Natural Language Understanding (information extraction, knowledge acquisition, natural language inference, QA, multilingualism), Knowledge Technologies (KBC, knowledge transfer, structured inference, commonsense inference), and AI for the common good (applications to biology, medicine, healthcare, and geoinformatics). Our long-term goal is to develop robust, generalizable and minimally supervised knowledge-aware learning systems that help machines understand nature.
We have 6 long papers accepted to EMNLP 2021. Also check out our new ACL papers.
We have received the NSF CRII Award that will support our research on transferable representation learning.
Our group website is online.