Hi! I just graduated from the Computer Science Department at Stanford University. I am advised by Prof. Christopher Manning and work in the Stanford NLP Group.
Before coming to Stanford, I received my bachelor degree from Special Pilot CS Class supervised by Prof. Andrew Yao at Tsinghua University in 2012.
(*: equal contribution)
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.
I will be joining the Computer Science Department at Princeton University as an assistant professor in Fall 2019.
I am starting to look for students this year. If you are interested in working with me, please apply to the Princeton CS PhD program. We are building a new NLP group at Princeton. Check out our website and AI & ML @Princeton!
- Neural Reading Comprehension and Beyond
PhD Thesis, Stanford University, 2018
- CoQA: A Conversational Question Answering Challenge
[bib] [paper] [code] [website]
Siva Reddy*, Danqi Chen*, Christopher D. Manning.
arXiv Preprint 2018.
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: 2018/12.
- 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.