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, natural language inference, QA, multilingualism), Knowledge Technologies (knowledge acquisition, consolidation, transfer), and AI for the common good (applications to biology, medicine, software engineering, and geoinformatics). Our long-term goal is to develop robust, generalizable and minimally supervised knowledge-aware learning systems that help machines understand nature.
We are looking for several new Ph.D. students to join the lab. Prospective students please read this.
We will present 7 papers at NAACL 2022 (incl. 4 main, 2 findings and 1 TACL). See you in Seattle. (Also check out our recent ACL and ICLR papers)
We have a new paper on indirect supervision accepted to TACL. Congratulations to the great work by our undergraduate scholar Bangzheng.
We will give a tutorial about "New Frontiers in Information Extraction" at NAACL 2022.
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.