Hi! I am currently visiting Facebook AI Research (Seattle) and University of Washington and I will be joining the Computer Science Department at Princeton University as an assistant professor in Fall 2019.
I graduated from the Computer Science Department at Stanford University, where I was advised by Prof. Christopher Manning and worked in the Stanford NLP Group.
Before that, I was an undergraduate student from the Special Pilot CS Class supervised by Prof. Andrew Yao at Tsinghua University.
My main research interests lie within deep learning for natural language processing, and I am particularly interested in the intersection between text understanding and knowledge representation/reasoning.
Papers (*: equal contribution)
- SpanBERT: Improving Pre-training by Representing and Predicting Spans
Mandar Joshi*, Danqi Chen*, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, Omer Levy.
- RoBERTa: A Robustly Optimized BERT Pretraining Approach
[bib] [arXiv] [code & models]
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov.
- A Discrete Hard EM Approach for Weakly Supervised Question Answering
Sewon Min, Danqi Chen, Hannaneh Hajishirzi, Luke Zettlemoyer.
In EMNLP 2019.
- CoQA: A Conversational Question Answering Challenge
[bib] [paper] [code] [website]
Siva Reddy*, Danqi Chen*, Christopher D. Manning.
In TACL 2019.
Check out the dataset and leaderboard at https://stanfordnlp.github.io/coqa/.
- Reading Wikipedia to Answer Open-Domain Questions
[bib] [paper][arXiv] [code] [poster]
Danqi Chen, Adam Fisch, Jason Weston, Antoine Bordes.
In ACL 2017.
Check out our DrQA project on Github.
- Position-aware Attention and Supervised Data Improve Slot Filling
[bib] [paper] [code]
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Mannning.
In EMNLP 2017 (Outstanding Paper Award).
- Stanford at TAC KBP 2016: Sealing Pipeline Leaks and Understanding Chinese
Yuhao Zhang*, Arun Chaganty*, Ashwin Paranjape*, Danqi Chen*, Jason Bolton*, Peng Qi, Christopher D. Manning.
In TAC 2016.
- A Thorough Examination of the CNN/Daily Mail Reading Comprehension Task
[bib] [acl paper] [arXiv] [slides] [code]
Danqi Chen, Jason Bolton, Christopher D. Manning.
In ACL 2016 (Outstanding Paper Award).
- Representing Text for Joint Embedding of Text and Knowledge Bases
[bib] [paper][FB15k-237 dataset]
Kristina Toutanova, Danqi Chen, Patrick Pantel, Hoifung Poon, Pallavi Choudhury, Michael Gamon.
In EMNLP 2015.
- Bootstrapped Self Training for Knowledge Base Population
Gabor Angeli, Victor Zhong, Danqi Chen, Arun Chaganty, Jason Bolton,
Melvin Johnson Premkumar, Panupong Pasupat, Sonal Gupta, Christopher D. Manning.
In TAC 2015.
- Observed Versus Latent Features for Knowledge Base and Text Inference
Kristina Toutanova, Danqi Chen.
In Workshop on Continuous Vector Space Models and Their Compositionality (CVSC) 2015.
- A Fast and Accurate Dependency Parser using Neural Networks
[bib] [paper] [slides] [website & code]
Danqi Chen, Christopher D. Manning.
In EMNLP 2014.
Our dependency parser is included in the Stanford CoreNLP software and the Stanford Parser (since v3.5.0).
- Reasoning With Neural Tensor Networks for Knowledge Base Completion
[bib] [paper] [poster] [data]
Richard Socher*, Danqi Chen*, Christopher D. Manning, Andrew Ng.
In NIPS 2013.
- Learning New Facts From Knowledge Bases With Neural Tensor Networks and Semantic Word Vectors
Danqi Chen, Richard Socher, Christopher D. Manning, Andrew Ng.
In ICLR 2013 (workshop track).
- Beyond Ten Blue Links: Enabling User Click Modeling in Federated Web Search
Danqi Chen, Weizhu Chen, Haixun Wang, Zheng Chen, Qiang Yang.
In WSDM 2012 (plenary presentation).
- Characterizing Inverse Time Dependency in Multi-class Learning
Danqi Chen, Weizhu Chen, Qiang Yang.
In ICDM 2011.
- 2012 - 2018: Ph.D. from Stanford University
- 2008 - 2012: B.Eng from Yao Class, Tsinghua University
- 2010 Fall: Exchange student at Hong Kong University of Science and Technology (HKUST)
- 2016.10 - 2016.12: Research intern at Facebook AI Research, NYC
Working with Antoine Bordes, Jason Weston
- 2014.7 - 2014.9: Research intern at Microsoft Research Redmond (NLP group)
Working with Kristina Toutanova, Hoifung Poon, Patrick Pantel, Michael Gamon
- 2011.2 - 2012.5: Research intern at Microsoft Research Asia (ML & WSM group)
Working with Weizhu Chen, Haixun Wang
Honors and awards
- Facebook Fellowship, 2017-2019
- Outstanding Paper Awards in ACL 2016 and EMNLP 2017
- Microsoft Research Women’s Fellowship, 2013-2014
- Outstanding Graduate Award, Tsinghua University, 2012
- Outstanding Undergraduate Dissertation Award, Tsinghua University, 2012
- Silver Medal of Yao Award, 2011
- Top Scholarship for Freshman and Comprehensive Merit Scholarship × 3, Tsinghua University, 2008-2012
- ACM ICPC contests: Silver Medal in World Finals 2010 (6th place overall), champions × 3 and Gold Medals × 7 in Asian regional contests, 2008-2010
- Gold Medal in International Olympiad in Informatics, 2008
- Organizing committee:
- Program committee/reviewer: ACL, EMNLP, NAACL, NIPS, ICML, ICLR, AAAI, EACL, CoNLL, COLING, IJCNLP, *SEM
- Journal reviewing: TACL, TKDE
Last updated: 2019/07.
- My name is pronounced as "dan-/'chE/" (check out this). My friends like to call me "CDQ" though.
- I come from Changsha, China.
- I had studied algorithms/data structures and theoretical computer science for many years, before I started my journey in artificial intelligence. Here are two articles that I wrote in high school: 1 and 2 (in Chinese) and they are known as "plug-like dynamic programming" and "CDQ's divide-and-conquer" today.
- Whenever I am not doing research, I love to eat, run, read and watch movies (extensively).
- Some of my portraits: 1, 2, 3 (credit: Lu Wang).
- I am on Twitter.