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.

Recent News

April 7, 2022

NAACL 2022


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)

Jan 27, 2022

Upcoming TACL Paper


We have a new paper on indirect supervision accepted to TACL. Congratulations to the great work by our undergraduate scholar Bangzheng.

Dec 15, 2021

Upcoming Tutorial at NAACL


We will give a tutorial about "New Frontiers in Information Extraction" at NAACL 2022.

Aug 8, 2021

Upcoming EMNLP Papers


We have 6 long papers accepted to EMNLP 2021. Also check out our new ACL papers.

July 14, 2021



We have received the NSF CRII Award that will support our research on transferable representation learning.

June 30, 2021

Upcoming tutorials


We have two upcoming tutorials at ACL 2021 and KDD 2021.

June 30, 2021

Hello RPG World!


Our group website is online.