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.




  • 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.
  • A paper on semantic role labeling with feed-forward neural network factors has been accepted at EMNLP 2015.
  • A paper on semantic role labeling was published at TACL. It was presented at ACL 2015 in Beijing, China.
  • I am an area chair of NAACL 2015 for semantics.

Past Activity:

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

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