I am a research scientist at Google in New York. I am part of the natural language understanding team.

Within NLP, my area of focus is the analysis of natural language semantics. I have also worked
on syntactic analysis, mostly investigating techniques to build systems without direct supervision.1,2

Before joining Google, I finished a Ph.D. at the Language Technologies Institute of the
School of Computer Science
 at Carnegie Mellon University.

I finished a Masters degree in Language Technologies at CMU in 2008 and an undergraduate degree in Computer Science and Engineering at the Indian Institute of Technology, Kharagpur in 2005.

Photo by Densel Santhmayor.




  • Area co-chair of EMNLP 2017 for "Text Mining and NLP Applications".
  • I am giving an invited talk at the Colloquium on NLP, Vision, ML at the University of North Carolina, Chapel Hill on October 26, 2016.
  • I am giving an invited talk at the LTI Colloquium at CMU on October 14, 2016.
  • I gave an invited talk at the NYU Semantics Group on September 30, 2016.
  • New preprint on a fast, parallelizable attention model for natural language inference (recently accepted at EMNLP 2016).
  • We have a paper at TACL on transforming syntactic dependencies to logical forms for semantic parsing.

Past Activity:

Contact Information:
Email: dipanjand@google.com
Address: 76 9th Avenue,
New York, NY 10011

Powered by liveSite